Готові списки джерел за темами / Radiation Estimation Model

Добірка наукової літератури з теми "Radiation Estimation Model"

Автор: Grafiati
Опубліковано: 6 вересня 2023

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Статті в журналах з теми "Radiation Estimation Model"

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Czekalski, Dariusz, Paweł Obstawski, and Tomasz Bakoń. "Possibilities to Estimate Daily Solar Radiation on 2-Axis Tracking Plane Using a Model Based on Temperature Amplitude." Sustainability 12, no. 23 (November 26, 2020): 9909. http://dx.doi.org/10.3390/su12239909.

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Significant errors may occur when estimating daily solar radiation in central Europe using empirical models based on air temperature (especially in the winter months). The first goal of this article is to investigate to what extent it is possible to increase the accuracy of the Hargreaves and Samani model, by using the calibration dedicated for each month. We also corrected the temperature amplitudes by narrowing the daily intervals from which the minimum and maximum values were taken. The second goal of this article is to compare the precision of the daily solar radiation estimation on the horizontal plane and on the 2-axis tracking plane. The database comprises the series of parallel measurements on both planes over a period of 10 years. We considered two procedures, direct and indirect, for the 2-axis tracking plane. The second procedure, dubbed “the first estimate horizontal than calculate tracking” is based on the strong relationship between daily solar radiations on both planes. The direct procedure allows for a slightly more accurate estimation. The estimation of daily radiation on the 2-axis tracking plane reflects the measured values worse than estimation on the horizontal plane. We discovered that the increase of estimation errors on the 2-axis tracking plane, compared to the horizontal one, is proportional to the increase in the coefficient of variability of the daily solar radiations.
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Kor, Hakan. "Global solar radiation prediction model with random forest algorithm." Thermal Science 25, Spec. issue 1 (2021): 31–39. http://dx.doi.org/10.2298/tsci200608004k.

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Global solar radiation estimation is crucial for regional climate assessment and crop growth. Therefore, studies on the prediction of solar radiation are emerging. With the availability of the public data on solar radiation, computerized models have been developed as well. These predictive models play significant role in determining the potentials of regions suitable for renewable energy generation required by engineering and agricultural activities. Herein a computerized model has been presented for estimating global solar radiation. The model utilizes random forest algorithm and reached predictive value of 93.9%.
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Achour, Lazhar, Malek Bouharkat, Ouarda Assas, and Omar Behar. "Smart model for accurate estimation of solar radiation." Frontiers in Energy 14, no. 2 (November 14, 2017): 383–99. http://dx.doi.org/10.1007/s11708-017-0505-3.

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Suwarno, Suwarno, and Rohana Rohana. "Comparison Model Hargreaves, Annandale and New Model for Estimation of Solar Radiation in Perlis, Malaysia." Indonesian Journal of Electrical Engineering and Computer Science 6, no. 2 (May 1, 2017): 286. http://dx.doi.org/10.11591/ijeecs.v6.i2.pp286-293.

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<p>Sunlight is a potential source of electrical energy in the universe. Utilization of solar radiation is not optimal to be a source of electricity generation. Before harnessed solar radiation in order to know in advance the estimated potential energy. Modelling estimates of solar radiation in three models: models Hargreaves, Annandale and the proposed new model. The new model proposed solar radiation estimates based on models Hargreaves and Annandale. Some models for estimating solar radiation is discussed in this paper which aims to determine the potential of solar radiation into electrical energy potential. A new model is proposed to estimate solar radiation. Comparison of the three models are estimated using statistical analysis e (%), CRM, and RMSE is obtained that the proposed new model is better, when compared to other models.</p>
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Tar, Károly, and Andrea Bíróné Kircsi. "A Statistical Model for Estimating the Amount of Monthly Global Radiation in the Horizontal Plane." Meteorology 2, no. 1 (March 10, 2023): 128–45. http://dx.doi.org/10.3390/meteorology2010009.

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In addition to dynamic methods, purely statistical models, i.e., findings from the statistical analysis of the existing measured database, also play an important role in predicting the different characteristics of climate elements. In our article, we try to estimate the monthly amount of global radiation in each day of the month. In our previous articles, we presented the sliding-average model developed for estimating the average or amount of a climatic element, measured over a time interval, from within the interval. A version of this model for estimating the end-of-interval sums, the sliding-sum model, was used to estimate the amount of monthly global radiation. After generating the characteristics required for the estimation and analyzing their properties, we examined the errors of the performed estimation. Our model can also help solar energy users create the schedule.
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Kashcheev, V. V., E. A. Pryakhin, and A. N. Menyajlo. "Methodology for estimating the radiation risk of medical exposure during computed tomography considering the uncertainties of the risk model." "Radiation and Risk" Bulletin of the National Radiation and Epidemiological Registry 32, no. 2 (2023): 47–55. http://dx.doi.org/10.21870/0131-3878-2023-32-2-47-55.

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The paper presents analysis of different factors affecting the uncertainty model for estimating ra-diation risk from computed tomography (CT). Uncertainties in radiation doses estimates caused by measurement (instrumental) errors or used dose estimation methods, the size of the scanned area and the type of CT scanner. The uncertainty of radiation dose due to measurement errors or dose estimation methods, the size of the scanned area and type of a CT scan may cause the uncertainties as well. Data used for calculating equivalent doses in individual organs and tissues and for calculating lifetime radiation risk of cancer development due to routine CT testing were updated. Conversion factors for DLP, a measure of radiation dose a patient received during CT exams of thoracic, abdomen and head organs, were determined and used for conversion of the CT doses to equivalent doses for individual organs and tissues exposed to radiation. Data for 15 state-of-the-art CT scanners with varying scanning geometry were updated. Uncertainties in life-time radiation risk were determined by estimating 95% confidence intervals for mean dose-proportionality ratios. Standard deviations related to specific dose distribution, scanning geometry and other factors that impact on uncertainty of radiation risk estimates were calculated. The standard deviations associated with the specifics of the dose distribution, scanning geometry and other factors affecting the uncertainties of radiation risk assessments were calculated. In the course of simulation modelling, organs and tissues were identified that are most exposed to radiation during CT of the chest, abdomen and head.
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Yusoff, Mohd Irwan, Muhamad Irwanto, Safwati Ibrahim, Gomesh Nair, Syed Idris Syed Hassan, and Muhamad Fitra. "Estimating Daily Solar Radiation Using Hargreaves Model in Eastern Malaysia." Applied Mechanics and Materials 699 (November 2014): 564–69. http://dx.doi.org/10.4028/www.scientific.net/amm.699.564.

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This paper presents the forecasting of solar radiation in Kelantan, Eastern Malaysia for the year of 2011 using Hargreaves model. This estimation is based on latitude and daily minimum and maximum temperature in Kelantan. The measured and estimated solar radiation data were compared for the year 2011 and analyzed using coefficient of residual mass (CRM), root mean squared error (RMSE), coefficient of determination (R2) and percentage error (e). The results showed that the value ofCRMis 0.09, it indicates the tendency of the estimation model to under-estimate the measure solar radiation. Meanwhile, the value ofRMSEis 8.21% and the value ofR2is 0.8661, closed to 1 indicates that about 86.61% of the total variation is explained in the data. For thee, the value is 7.98%, it indicates that the model estimation is good.
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Kumar, S., and T. Kaur. "Efficient solar radiation estimation using cohesive artificial neural network technique with optimal synaptic weights." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 234, no. 6 (October 1, 2019): 862–73. http://dx.doi.org/10.1177/0957650919878318.

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Estimation of solar potential is vital for renewable energy applications. In several studies, artificial neural networks have been employed to model solar radiation using various meteorological parameters. The collection and availability of the most appropriate input parameters is important for getting an accurate artificial neural network model. The present study aims to estimate the global solar radiation using different meteorological parameters and identify the significant parameters based on the analysis of synaptic weights in an artificial neural network model using the connection weight approach. Initially, artificial neural network and empirical models is applied to estimate the solar radiation in Chamba region. The artificial neural network architecture 5-48-15-1 resulted in minimum mean absolute percentage error of 12.15%. The mean absolute percentage error values for linear models are found to be 18.95%, 15.39%, and 21.62%, respectively. Thereafter, connection weight approach is applied to find significant parameters. The efficacy of the approach has been shown through a case study related to estimation of solar radiations in the Hamirpur region situated in the state of Himachal Pradesh (India). Five input parameters, namely temperature (T), relative humidity (RH), clearness index (KT), precipitation (PT), and pressure (P), have been considered to estimate solar radiations using a feed-forward neural network. The proposed approach infers that temperature is the most significant parameter followed by humidity and pressure. The clearness index and precipitation has been found to have the least effect on the estimation of solar radiations. Results also indicate that artificial neural network based technique is more accurate compared to empirical model.
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Tian, Lin, Lin Chen, Peng Zhang, Bo Hu, Yang Gao, and Yidan Si. "The Ground-Level Particulate Matter Concentration Estimation Based on the New Generation of FengYun Geostationary Meteorological Satellite." Remote Sensing 15, no. 5 (March 5, 2023): 1459. http://dx.doi.org/10.3390/rs15051459.

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The new-generation FengYun geostationary meteorological satellite has a high spatial and temporal resolution, which is advantageous in environmental assessments and air pollution monitoring. This study researched the ground-level particulate matter concentration estimation, based on satellite-observed radiations. The radiation of ground-level particulate matter is separate from the apparent radiation observed by satellites. The positive correlation between PM2.5 and PM10 is also considered to improve the accuracy of inversion results and the interpretability of the estimation model. Then, PM2.5 and PM10 concentrations were estimated synchronously every 5 min in mainland China based on FY-4A satellite directly observed radiations. The validation results showed that the improved model estimated results were close to the ground site measured results, with a high determination coefficient (R2) (0.89 for PM2.5, and 0.90 for PM10), and a small Root Mean Squared Error (RMSE) (4.69 μg/m3 for PM2.5 concentrations, and 13.77 μg/m3 for PM10 concentrations). The estimation model presented a good performance in PM2.5 and PM10 concentrations during typical haze and dust storm cases, indicating that it is applicable in different weather conditions and regions.
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Chaibi, Mohamed, EL Mahjoub Benghoulam, Lhoussaine Tarik, Mohamed Berrada, and Abdellah El Hmaidi. "An Interpretable Machine Learning Model for Daily Global Solar Radiation Prediction." Energies 14, no. 21 (November 5, 2021): 7367. http://dx.doi.org/10.3390/en14217367.

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Machine learning (ML) models are commonly used in solar modeling due to their high predictive accuracy. However, the predictions of these models are difficult to explain and trust. This paper aims to demonstrate the utility of two interpretation techniques to explain and improve the predictions of ML models. We compared first the predictive performance of Light Gradient Boosting (LightGBM) with three benchmark models, including multilayer perceptron (MLP), multiple linear regression (MLR), and support-vector regression (SVR), for estimating the global solar radiation (H) in the city of Fez, Morocco. Then, the predictions of the most accurate model were explained by two model-agnostic explanation techniques: permutation feature importance (PFI) and Shapley additive explanations (SHAP). The results indicated that LightGBM (R2 = 0.9377, RMSE = 0.4827 kWh/m2, MAE = 0.3614 kWh/m2) provides similar predictive accuracy as SVR, and outperformed MLP and MLR in the testing stage. Both PFI and SHAP methods showed that extraterrestrial solar radiation (H0) and sunshine duration fraction (SF) are the two most important parameters that affect H estimation. Moreover, the SHAP method established how each feature influences the LightGBM estimations. The predictive accuracy of the LightGBM model was further improved slightly after re-examination of features, where the model combining H0, SF, and RH was better than the model with all features.
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Більше джерел

Дисертації з теми "Radiation Estimation Model"

1

Shah, Tejas Jagdish. "Online parameter estimation applied to mixed conduction/radiation." Thesis, Texas A&M University, 2005. http://hdl.handle.net/1969.1/2361.

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The conventional method of thermal modeling of space payloads is expensive and cumbersome. Radiation plays an important part in the thermal modeling of space payloads because of the presence of vacuum and deep space viewing. This induces strong nonlinearities into the thermal modeling process. There is a need for extensive correlation between the model and test data. This thesis presents Online Parameter Estimation as an approach to automate the thermal modeling process. The extended Kalman fillter (EKF) is the most widely used parameter estimation algorithm for nonlinear models. The unscented Kalman filter (UKF) is a new and more accurate technique for parameter estimation. These parameter estimation techniques have been evaluated with respect to data from ground tests conducted on an experimental space payload.
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Anderson, Evelyn Carole. "Anumerical model for the estimation of solar radiation on rugged terrain /." The Ohio State University, 1985. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487259125218402.

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CUNHA, RAQUEL D. S. da. "A comunicação dos riscos na preparação para emergências nucleares: um estudo de caso em Angra dos Reis, Rio de Janeiro." reponame:Repositório Institucional do IPEN, 2017. http://repositorio.ipen.br:8080/xmlui/handle/123456789/28029.

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O gerenciamento de riscos em uma instalação nuclear é necessário para a segurança de trabalhadores e de populações vizinhas. Parte desse processo é a comunicação dos riscos que propicia o diálogo entre gestores da empresa e moradores das áreas de risco. A população que conhece os riscos a que está exposta, como esses riscos são gerenciados e o que deve ser feito em uma situação de emergência tende a se sentir mais segura e a confiar nas instituições responsáveis pelo plano de emergência. Sem diálogo entre empresa e público, o conhecimento dos procedimentos a serem seguidos em caso de acidente não chega à população, ou quando chega, não há confiança dessas pessoas na sua eficácia. Em Angra dos Reis, no litoral sul do Estado do Rio de Janeiro, está a Central Nuclear Almirante Álvaro Alberto. No entorno dessa Central Nuclear existe uma população que, de acordo com o Plano de Emergência Externo (PEE/RJ), deverá ser evacuada ou ficar abrigada, caso ocorra um acidente na instalação. Um trabalho de comunicação de riscos entre esses moradores é necessário para que eles conheçam o plano de emergência e os procedimentos corretos para uma situação de emergência, além de buscar esclarecer dúvidas e mitos. Esse trabalho apresenta uma análise da comunicação dos riscos feita para a população local, a percepção que ela tem dos riscos e o grau de conhecimento do plano de emergência externo por parte dessas pessoas.
Tese (Doutorado em Tecnologia Nuclear)
IPEN/T
Instituto de Pesquisas Energéticas e Nucleares - IPEN-CNEN/SP
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Chow, Siu-choi, and 鄒小萃. "An evaluation of models for the estimation of hourly global solar irradiation in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1985. http://hub.hku.hk/bib/B31207224.

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Jin, Kyoung-Wook. "Global oceanic rainfall estimation from AMSR-E data based on a radiative transfer model." Diss., Texas A&M University, 2005. http://hdl.handle.net/1969.1/3266.

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An improved physically-based rainfall algorithm was developed using AMSR-E data based on a radiative transfer model. In addition, error models were designed and embedded in the algorithm to assess retrieval errors quantitatively and to reduce net retrieval uncertainties. The algorithm uses six channels (dual polarizations at 36.5, 18.7 and 10.65GHz) and retrieves rain rates on a pixel-by-pixel basis. Monthly rain totals are estimated by summing average rain rates computed by merging six rain rates based on proper weights that are estimated from error models. Error models were constructed based upon the principal error sources of rainfall retrieval such as beam filling error, drop size distribution uncertainty and instrument calibration errors. Several improved schemes that minimize uncertainties of the rainfall retrieval were developed in this study. In particular, improved offset correction that corrects the biases near zero rain plays a very important role for reducing uncertainties which are mainly driven by calibration uncertainty including the modeling errors. AMSR-E's larger calibration uncertainty was substantially absorbed by this offset correction as well as by the weighted average scheme to combine all six channels optimally. As a framework for inter-comparison with the experimental algorithm, the current operational algorithm (NASA, level 3 algorithm) was also updated with respect to AMSR-E data. The experimental algorithm was compared with the operational algorithm for both AMSR-E and TMI data and rainfall retrieval uncertainties were analyzed using error models. When the experimental algorithm was used, many limitations of the operational algorithm were overcome and uncertainties of rainfall retrieval were considerably eliminated.
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Holmgren, Johan. "Estimation of forest variables using airborne laser scanning /." Umeå : Dept. of Forest Resource Management and Geomatics, Swedish Univ. of Agricultural Sciences, 2003. http://epsilon.slu.se/s278.pdf.

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7

West, Rosalind Eleanor Lunzer. "Estimation of the indirect radiative effects of aerosol on climate using a general circulation model." Thesis, University of Oxford, 2012. http://ora.ox.ac.uk/objects/uuid:bc1cc003-cf96-4b27-aad9-75ef7045dfc3.

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The indirect effects of anthropogenic aerosols—through their interactions with clouds—are currently one of the most uncertain perturbations to the radiative energy balance at the top of the atmosphere. A crucial link between aerosol and cloud is that aerosols can act as cloud condensation nuclei (CCN). This microphysical process must be parameterised if the large-scale effects are to be represented in a general circulation model (GCM). Theoretical work presented in this thesis highlights the importance of incorporating the kinetic limitations on droplet formation in aerosol activation parameterisations. HadGEM-UKCA is a GCM, capable of representing the chemical and microphysical aerosol processes required to model CCN accurately. The author has incorporated a Köhler theory based parameterisation of aerosol activation into HadGEM-UKCA, to facilitate quantitative predictions of the indirect aerosol effects. This thesis presents an estimate of the range of uncertainty in such predictions attributable to the choice of parameterisation of the sub-grid-scale variability of vertical velocity. Results of simulations demonstrate that the use of a characteristic updraught velocity cannot replicate results derived with a distribution of vertical velocities, and is to be discouraged in GCMs. Consequently, work focuses on the effect of the variance (σw2) of a Gaussian pdf of vertical velocity. Fixed values of σw and a configuration in which σw depends on turbulent kinetic energy are tested. Results from the mid-range fixed σw and TKE-based configurations both compare well with vertical velocity distributions and cloud droplet number concentrations measured in situ. However, the sparse set of available measurements does not provide enough of a constraint to recommend one or the other as the best configuration globally. The radiative flux perturbation (RFP) due to the total effects of anthropogenic aerosol is estimated at −1.7Wm−2 for the TKE-based configuration. To the extent that it is valid to decouple the individual aerosol effects, the direct effect accounts for approximately −0.6Wm−2 of the total, the cloud albedo effect −0.8Wm−2 and the cloud lifetime effect −0.3Wm−2, indicating that these effects are additive within HadGEM-UKCA. Total aerosol RFP ranges from −1.4Wm−2 from simulations with σw=0.1ms−1, up to −2.0Wm−2 for σw=0.7ms−1. This range of 0.6Wm−2 corresponds to almost a third of the total estimate of −1.9Wm−2, obtained with the mid-range value of σw=0.4ms−1. Reducing the uncertainty in the parameterisation of σw is therefore an important step towards reducing the uncertainty in estimates of the indirect aerosol effects.
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Alfaro, Adriane Theodoro Santos. "MODELO DE ESTIMATIVA DA RADIAÇÃO LÍQUIDA E SUA APLICAÇÃO NA DETERMINAÇÃO DA EVAPOTRANSPIRAÇÃO POTENCIAL." UNIVERSIDADE ESTADUAL DE PONTA GROSSA, 2009. http://tede2.uepg.br/jspui/handle/prefix/2207.

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This study aimed to assess and develop a physical mathematical model to estimats the net radiation. For this we used weather data collected from the meteorological station of the Department of Physics and Meteorology of the Escola Superior de Agricultura "Luis de Queiroz" - ESALQ - University of São Paulo - USP, Piracicaba, Brazil, according to the global radiation (Qg) relative humidity (UR) and average daily temperature (T).The proposed methodology let us to determine the net radiation based on data more easily accessible and relevant to various daily human activities and therefore of great importance in engineering projects aimed at harnessing solar energy in its many forms. The performance of the model estimate of net radiation and its application in determining the potential evapotranspiration was verified by analyzing the coefficients of determination (R2) and agreement index of Willmott (d) applied to the observed and estimated data. The values estimated by the proposed method were compared with values measured by a net radiometer and the results showed that the proposed methodology was efficient for the estimation of net radiation with speed and simplicity. The data set was subjected to a simple linear regression analysis, obtaining a good adjustment between measured and estimated values. The use of estimated net radiation was efficient in the estimation of evapotranspiration by the methods of Penman Monteith, Priestley Taylor adjusted and Penman modified by the proposed model with a good adjustment when compared with the values measured for a period of 89 days, with determination coefficient (R2) ranging from 0.910 to 0.940. The proposed methodology is applicable when the meteorological variables needed to estimate potential evapotranspiration when not always are available, particularly those related to the solution of the aerodynamic term (wind velocity and vapor pressure deficit in the air), thus the methods are important to estimate the ETo based on climatic elements that can be obtained in a practice way. The satisfactory correlation found with the net radiometer makes the method of potential use in the region under study because the knowledge of evapotranspiration or latent heat flux contributes to a more rational use of water in crops in critical stages of growth and reproductive when water is a limited factors. Thus, for the climate of the town looked, it was possible to estimate with good precision the value of the net radiation, based on the theory proposed generating equivalent values those obtained by classical methodology for Piracicaba, SP.
O presente trabalho teve por objetivo propor e aferir um modelo físico matemático para estimar a radiação líquida e sua aplicação na determinação da evapotranspiração potencial. Para tanto foram utilizados dados climáticos coletados da Estação Meteorologia do Departamento de Engenharia Rural da Escola Superior de Agricultura “Luis de Queiroz”- ESALQ – da Universidade de São Paulo – USP, Piracicaba, SP, Brasil, em função da radiação global (Qg), da umidade relativa do ar (UR) e temperatura média diária (T). A metodologia proposta permite determinar a radiação líquida em função de dados mais facilmente disponíveis, sendo relevante nas diversas atividades humanas diárias e, portanto, de suma importância em projetos de engenharia que visam o aproveitamento da energia solar nas suas mais variadas formas. O desempenho do modelo proposto foi verificado através da análise dos coeficientes de determinação (R2) e dos índices de concordância de Willmott (d) aplicados aos dados estimados e observados. Os valores estimados pela metodologia proposta foram confrontados com os valores medidos por um saldo radiômetro e os resultados revelaram que a metodologia proposta mostrou-se eficiente para a estimativa da radiação líquida com rapidez e simplicidade. O conjunto de dados foi submetido a uma análise de regressão linear simples, obtendo-se bom ajuste entre os valores medidos e estimados. A utilização da radiação líquida estimada mostrou-se eficiente na estimativa da evapotranspiração pelos métodos de Penman-Monteith, Priestley-Taylor ajustado e Penman modificado, com bom ajustamento quando comparado com os valores medidos para um período de 89 dias, com coeficiente de determinação (R2) variando de 0, 910 a 0,940. A metodologia proposta tem aplicabilidade quando as variáveis meteorológicas necessárias para estimar evapotranspiração potencial nem sempre se encontram disponíveis, particularmente as relacionadas à solução do termo aerodinâmico (velocidade do vento e déficit de pressão do vapor d'água no ar); desta forma, tornam-se importantes os métodos para estimar a evapotranspiração potencial em função de elementos climáticos que podem ser obtidos de maneira mais prática. A correlação satisfatória verificada com o saldo radiômetro torna o método de uso potencial na região em estudo, pois o conhecimento da evapotranspiração ou do fluxo convectivo de calor latente contribui para uma utilização mais racional da água em uma determinada cultura em que as fases críticas de desenvolvimento vegetativo e reprodutivo são limitadas pelo fator hídrico. Assim, para as condições climáticas da localidade analisada, foi possível estimar com boa precisão o valor da radiação líquida, fundamentada na teoria proposta gerando valores equivalentes aqueles obtidos pela metodologia clássica para Piracicaba, SP.
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Zamora, Ortega Lisett Rocio. "Estimativa da radiação solar global pelos modelos de Hargreaves e aprendizado de máquina em 11 regiões de São Paulo /Brasil /." Botucatu, 2020. http://hdl.handle.net/11449/192237.

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Анотація:
Orientador: João Francisco Escobedo
Resumo: No presente trabalho é descrito o estudo comparativo de métodos de estimativas da irradiação solar global (HG) diária através do modelo de Hargreaves-Samani (H-S) HG/HO = a ΔT0,5 e duas técnicas de Aprendizado de Máquina (AM), Máquinas de Vetores de Suporte (MVS) e Redes Neurais Artificiais (RNA). A base de dados utilizada foi obtida em 11 cidades do estado de São Paulo de diferentes classificações climáticas no período de 2013-2017. Por meio de regressão entre a transmissividade atmosférica (HG/HO) e raiz quadrada da diferença de temperatura (ΔT0,5). O modelo estatístico H-S foi calibrado e determinado para os valores da constante (a) e equações que permitem estimar HG com baixos coeficientes de determinação para duas condições:11 cidades individualmente e total. Os modelos de H–S foram validados por meio de correlações entre os valores estimados e medidos através dos indicadores de correlação (r) e rRMSE cujos valores indicaram que os modelos podem estimar HG com razoável precisão e exatidão. As técnicas computacionais, MVS e RNA, foram treinadas com 70% dos dados nas mesmas variáveis usadas no modelo de H-S, e posteriormente foram treinadas com entradas de mais 4 variáveis meteorológicas totalizando 5 combinações. Os treinos foram validados usando uma base de dados independente de 30% da base. Os indicativos estatísticos (r) das correlações mostraram que o modelo H-S pode estimar HG com baixos coeficientes de determinação. Os indicativos estatísticos rMBE, MBE, rRMSE, RMSE... (Resumo completo, clicar acesso eletrônico abaixo)
Abstract: This work describes the comparative study of methods for estimating daily global solar irradiation (HG) using the Hargreaves-Samani (H-S) model HG / HO = a ΔT0.5 and two Machine Learning techniques (AM), Support Vectors Machines (MVS) and Artificial Neural Networks (ANN). The database used was obtained in 11 cities by the state of São Paulo from different climatic classifications between period 2013-2017. Through regression between differents atmospheric transmissivity (HG / HO) and square root of the temperature difference (ΔT0.5). The H-S statistical model was calibrated and determined for the values of constant (a) and equations that allow estimating HG with low determination coefficients for two conditions:11 cities individually and total. The H–S models were validated by correlations between the estimated and measured values using the correlation indicators (r) and rRMSE, whose values indicated that the models can estimate HG with reasonable precision and exactitude. The computational techniques, MVS and RNA, were trained with 70% of the data in the same variables used in the H-S model, later they were trained with inputs of 4 more meteorological totalling 5 combinations. The training was validated using an independent database of 30%. The statistical indications of the correlations showed that the H-S model can estimate HG with low determination coefficients. The statistical indications rMBE, MBE, rRMSE, RMSE indicate that the H-S model can be used to estimate HG with r... (Complete abstract click electronic access below)
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Janoutová, Růžena. "Modelling 3D Forest Structure for Improved Retrieval of Forest Biophysical Properties." Doctoral thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2017. http://www.nusl.cz/ntk/nusl-263358.

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Анотація:
Hlavním cílem práce bylo zlepšení kvantitativních odhadů vegetačních parametrů smrkových porostů pomocí spektrálních simulací trojrozměrného modelu přenosu záření. Prvně bylo potřeba vytvořit přesný 3D model smrku. Implementace přesného 3D modelu smrku pro parametrizaci celých lesních porostů je v současné době výpočetně nemožné, bylo tedy nutné tento 3D model smrku zjednodušit. Přesný 3D model smrku společně s dostupnými leteckými daty sloužil pro nalezení optimálního zjednodušení. Optimální model vedl ke kompromisu mezi výpočetní náročností a přesností výsledné odrazivosti z modelu přenosu záření. Následně byl optimální model smrku využit pro odhady vegetačních parametrů ze satelitních snímků. Přesnost odhadů byla ověřena oproti pozemním měřením odhadovaných parametrů. Na závěr byly porovnány výsledky z odhadů vegetačních parametrů pomocí optimálního 3D modelu smrku s výsledky z tradičního přístupu pomocí modelů stromu s geometricky jednodušími tvary korun.
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Книги з теми "Radiation Estimation Model"

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1940-, Wilson John W., Nealy John E, and United States. National Aeronautics and Space Administration. Scientific and Technical Information Division., eds. Reliability of equivalent sphere model in blood-forming organ dose estimation. [Washington, DC]: National Aeronautics and Space Administration, Office of Management, Scientific and Technical Information Division, 1990.

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IEA Solar Heating and Cooling Programme and Sveriges meteorologiska och hydrologiska institut., eds. Handbook of methods of estimating solar radiation. Stockholm, Sweden: Swedish Council for Building Research, 1985.

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Kukush, Alexander, Sergiy Shklyar, Sergii Masiuk, Mykola Chepurny, and Illya Likhtarov. Radiation Risk Estimation: Based on Measurement Error Models. de Gruyter GmbH, Walter, 2017.

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Kukush, Alexander, Sergiy Shklyar, Sergii Masiuk, Mykola Chepurny, and Illya Likhtarov. Radiation Risk Estimation: Based on Measurement Error Models. de Gruyter GmbH, Walter, 2017.

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Kukush, Alexander, Sergiy Shklyar, Sergii Masiuk, Mykola Chepurny, and Illya Likhtarov. Radiation Risk Estimation: Based on Measurement Error Models. de Gruyter GmbH, Walter, 2017.

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Estimating solar radiation for plant simulation models. [Houston, Tex: National Aeronautics and Space Administration, Lyndon B. Johnson Space Center, 1985.

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Myers, Daryl Ronald. Solar Radiation. Taylor & Francis Group, 2013.

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Myers, Daryl Ronald. Solar Radiation: Practical Modeling for Renewable Energy Applications. Taylor & Francis Group, 2017.

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Myers, Daryl Ronald. Solar Radiation: Practical Modeling for Renewable Energy Applications. Taylor & Francis Group, 2017.

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Solar Radiation: Practical Modeling for Renewable Energy Applications. Taylor & Francis Group, 2013.

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Частини книг з теми "Radiation Estimation Model"

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Ton, Lan, Sabine Levegrün, Jürgen Debus, Sebastian Swiderski, and Wolfgang Schlegel. "Estimation of complication probabilities after radiosurgery of AVM patients using a biological model." In The Use of Computers in Radiation Therapy, 246–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59758-9_93.

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Krotova, Elena, and Yulyia Urazbaeva. "Estimation of the Intensity Model Coefficient of the Emerging Breaking Radiation." In Lecture Notes in Networks and Systems, 1017–24. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11058-0_103.

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Brüningk, Sarah C., and Gibin G. Powathil. "Modelling Direct and Indirect Effects of Radiation: Experimental, Clinical and Environmental Implications." In NATO Science for Peace and Security Series A: Chemistry and Biology, 69–87. Dordrecht: Springer Netherlands, 2022. http://dx.doi.org/10.1007/978-94-024-2101-9_5.

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Анотація:
AbstractRadiotherapy is a commonly used treatment for cancer and is usually given in varying doses. Mathematical modelling of radiation effects traditionally means the modelling or estimation of cell-kill due to its direct exposure to irradiation and sometimes ignoring other multiple direct/indirect effects. However, advances in molecular biology have expanded this classical view and it is now realized that in addition to cell-death, signals produced by irradiated cells can further influence the behavior of non-irradiated cells or organisms in several ways. Consequently, it has now wider implications in multiple areas making it relevant for further exploration, both experimentally and mathematically. Here, we provide a brief overview of a hybrid multiscale mathematical model to study the direct and indirect effects of radiation and its implications in clinical radiotherapy, experimental settings and radiation protection.
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Komochkov, M. M. "A Model of Two Reactions as Dose-Stochastic Radiological Effect Relationship and Estimation of Radiation Risks." In Fundamentals for the Assessment of Risks from Environmental Radiation, 25–34. Dordrecht: Springer Netherlands, 1999. http://dx.doi.org/10.1007/978-94-011-4585-5_4.

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Bakerenkov, A. S. "Experimental Equipment for Extraction of ELDRS Conversion Model Parameters and its Application for Estimation of Radiation Effects in Bipolar Devices." In 3rd International Conference on Nanotechnologies and Biomedical Engineering, 520–23. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-287-736-9_122.

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Ehrhardt, Jan, Tobias Klinder, and Cristian Lorenz. "Computational Motion Phantoms and Statistical Models of Respiratory Motion." In 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, 215–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36441-9_10.

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McClelland, Jamie. "Estimating Internal Respiratory Motion from Respiratory Surrogate Signals Using Correspondence Models." In 4D Modeling and Estimation of Respiratory Motion for Radiation Therapy, 187–213. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-36441-9_9.

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Katsaros, K. B. "Parameterization Schemes and Models for Estimating the Surface Radiation Budget." In Surface Waves and Fluxes, 339–68. Dordrecht: Springer Netherlands, 1990. http://dx.doi.org/10.1007/978-94-009-0627-3_9.

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Song, Zhe, Zhigang Ren, Qinli Deng, and Xin Chen. "Generalized Models for Estimation of Diffuse Solar Radiation Based on Clearness Index." In Environmental Science and Engineering, 97–105. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-9528-4_11.

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Choudhary, Amar, Deependra Pandey, and Saurabh Bhardwaj. "A Review for the Development of ANN Based Solar Radiation Estimation Models." In Smart Innovation, Systems and Technologies, 59–66. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5971-6_7.

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Тези доповідей конференцій з теми "Radiation Estimation Model"

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Eddine, Achraf Nasser, and Imad Hage Chehade. "Estimation model for global solar radiation in Lebanon." In 2016 3rd International Conference on Renewable Energies for Developing Countries (REDEC). IEEE, 2016. http://dx.doi.org/10.1109/redec.2016.7577563.

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Smolin, Anatoly A., Armen V. Sogoyan, and Alexander I. Chumakov. "Two-Parameter Model for SEE Rate Estimation." In 2018 18th European Conference on Radiation and Its Effects on Components and Systems (RADECS). IEEE, 2018. http://dx.doi.org/10.1109/radecs45761.2018.9328705.

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Omara, Adil A. M., Abuelnuor A. A. Abuelnuor, and Ibrahim A. I. Eshag. "Estimation of Solar Radiation of Khartoum City Using ASHRAE Model." In 2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE). IEEE, 2021. http://dx.doi.org/10.1109/iccceee49695.2021.9429598.

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Mikhailov, Maksim A., Vladimir D. Chernykh, and Gennady G. Vertogradov. "Single-Position Estimation of HF Transmitter Coordinates Taking Into Account IRI Ionospheric Model Adaptation." In 2023 Radiation and Scattering of Electromagnetic Waves (RSEMW). IEEE, 2023. http://dx.doi.org/10.1109/rsemw58451.2023.10201967.

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Zainud-Deen, S. H., Sahar I. El-Doda, K. H. Awadalla, and H. A. Sharshar. "Model-Based Parameter Estimation of Antenna Input Impedance and Radiation Pattern." In Proceedings of the Twenty Third National Radio Science Conference (NRSC'2006). IEEE, 2006. http://dx.doi.org/10.1109/nrsc.2006.386328.

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Carretero, Claudio, Javier Lasobras, Rafael Alonso, Enrique Carretero, and Eduardo Imaz. "Radiation heat measurement model for temperature estimation in induction heating appliances." In IECON 2014 - 40th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2014. http://dx.doi.org/10.1109/iecon.2014.7048979.

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Zainud-Deen, S. H., S. I. El-Doda, K. H. Awadalla, and H. A. Sharshar. "Model-based parameter estimation of antenna input impedance and radiation pattern." In 2006 IEEE Antennas and Propagation Society International Symposium. IEEE, 2006. http://dx.doi.org/10.1109/aps.2006.1710652.

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Nikolaev, Viktor V., Olga O. Zakharova, Oksana O. Kurochkina, Ekaterina Sandykova, Alexandr A. Taletskiy, and N. A. Krivova. "Measurement and estimation of the structure of lymphedematous tissue on animal model." In Fourth International Conference on Terahertz and Microwave Radiation: Generation, Detection, and Applications, edited by Oleg A. Romanovskii and Yurii V. Kistenev. SPIE, 2020. http://dx.doi.org/10.1117/12.2581564.

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Yaniktepe, Bulent, Osman Kara, and Coskun Ozalp. "ESTIMATION OF SOLAR RADIATION MODEL USING MEASURED DATA IN A SPECIFIC REGION." In RAD Conference. RAD Association, 2017. http://dx.doi.org/10.21175/radproc.2017.40.

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Korachagaon, Iranna, D. N. Mudgal, Ravi M. Kottur, S. K. Patil, and V. N. Bapat. "Global solar radiation estimation model with two parameters and its ANN validation." In 2015 IEEE 9th International Conference on Intelligent Systems and Control (ISCO). IEEE, 2015. http://dx.doi.org/10.1109/isco.2015.7282286.

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Звіти організацій з теми "Radiation Estimation Model"

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Cohen, N. Primate polonium metabolic models and their use in estimation of systemic radiation doses from bioassay data. Final report. Office of Scientific and Technical Information (OSTI), March 1989. http://dx.doi.org/10.2172/283755.

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