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Статті в журналах з теми "Electrical energy usage"
J. W. Slocombe, A. M. Feyerherm, and L. E. Stetson. "Electrical Energy Usage on Kansas Grain Farms." Applied Engineering in Agriculture 8, no. 2 (1992): 263–66. http://dx.doi.org/10.13031/2013.26063.
Повний текст джерелаThoma, Mark. "Electrical energy usage over the business cycle." Energy Economics 26, no. 3 (May 2004): 463–85. http://dx.doi.org/10.1016/j.eneco.2004.04.006.
Повний текст джерелаRitchie, Michael J., Jacobus A. A. Engelbrecht, and Marthinus J. Booysen. "Practically-Achievable Energy Savings with the Optimal Control of Stratified Water Heaters with Predicted Usage." Energies 14, no. 7 (April 1, 2021): 1963. http://dx.doi.org/10.3390/en14071963.
Повний текст джерелаHashim, Noorazuan Md, Muhammad Khaidir Bin Azmi, and Yaakob Mohd Jani. "Understanding Trend and Variation of Electrical Energy usage Among Students in the National University of Malaysia." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (April 30, 2019): 31–35. http://dx.doi.org/10.31142/ijtsrd21586.
Повний текст джерелаMuyunda, C., and F. Mwale. "Electrical energy usage at Konkola Division, Zambian Copper Belt." Mine Water and the Environment 13, no. 2 (June 1994): 33–39. http://dx.doi.org/10.1007/bf02915538.
Повний текст джерелаRuli A. Siregar, Riki, Hengki Sikumbang, Iriansyah BM Sangadji, and Indrianto. "KWh Meter Smart Card Model Token For Electrical Energy Monitoring." MATEC Web of Conferences 218 (2018): 03002. http://dx.doi.org/10.1051/matecconf/201821803002.
Повний текст джерелаHerpendi, Herpendi, Veri Julianto, Khairul Anwar Hafizd, and Rabini Sayyidati. "IOT Based Smart Lamp for Efficient Usage of Electrical Energy." Logic : Jurnal Rancang Bangun dan Teknologi 19, no. 2 (July 29, 2019): 54. http://dx.doi.org/10.31940/logic.v19i2.1277.
Повний текст джерелаAsri, Yessy, Dwina Kuswardani, Efy Yosrita, and Ferdinand Hendrik Wullur. "Clusterization of customer energy usage to detect power shrinkage in an effort to increase the efficiency of electric energy consumption." Indonesian Journal of Electrical Engineering and Computer Science 22, no. 1 (April 1, 2021): 10. http://dx.doi.org/10.11591/ijeecs.v22.i1.pp10-17.
Повний текст джерелаD.A., Darshan, Sumith L.V., K. Sowjanya Reddy, K. Rasagnya, and Trupti V. N. "A STUDY OF ENERGY FLOW AT AN ELECTRICAL SUBSTATION THROUGH ENERGY AUDIT." International Journal of Research -GRANTHAALAYAH 5, no. 4RACEEE (April 30, 2017): 161–65. http://dx.doi.org/10.29121/granthaalayah.v5.i4raceee.2017.3339.
Повний текст джерелаLimpraptono, Fransiscus Yudi, Eko Nurcahyo, Mochammad Ibrahim Ashari, Erkata Yandri, and Yahya Jani. "Design of Power Monitoring and Electrical Control Systems to Support Energy Conservation." Proceedings of the Pakistan Academy of Sciences: A. Physical and Computational Sciences 58, S (October 11, 2021): 1–7. http://dx.doi.org/10.53560/ppasa(58-sp1)726.
Повний текст джерелаДисертації з теми "Electrical energy usage"
Kournetas, Nicholas George. "The use of oxygen to decrease electrical energy usage in the electric arc furnace." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape17/PQDD_0003/MQ34148.pdf.
Повний текст джерелаChanda, Soumendu. "Powertrain Sizing and Energy Usage Adaptation Strategy for Plug-in Hybrid Electric Vehicles." University of Akron / OhioLINK, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1208385855.
Повний текст джерелаJohansson, Kevin, and Christoffer Eklund. "A comparison of energy usage between LoRa 433Mhz and LoRa 868MHz." Thesis, Jönköping University, JTH, Avdelningen för datavetenskap, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-54161.
Повний текст джерелаChenailler, Hervé. "L'efficacité d'usage énergétique : pour une meilleure gestion de l'énergie électrique intégrant l'usager dans les bâtiments." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00771667.
Повний текст джерелаКатюха, Ігор Анатолійович. "Прогнозні моделі електричних навантажень розподільчих мереж в умовах невизначеності вихідної інформації". Thesis, Таврійський державний агротехнологічний університет, 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/31033.
Повний текст джерелаThe thesis for getting scientific degree of the Candidate of technical science on the specialty 05.14.02 «Electric power stations, network and system» (141 Electrical energetics, electrical engineering and electromechanics). – Tavricheskiy State Agrotechnology University, Melitopol, Ukraine National Technical University «Kharkiv Polytechnic Institute» MES of Ukraine, Kharkiv, 2017. The dissertation devoted to solving actual scientific and technical problem of development of modern science and analytical tools forecast electricity consumption in the face of uncertainty, taking into account the possibility of information support automated systems of commercial accounting of electric power and features of individual consumers and aims to increase efficiency and save electricity. Improved method of fuzzy regression analysis to build long–term forecasting models of electric loads in distribution networks. Included balanced participation of two performance criteria fuzzy models: the degree of combination and degree of fuzziness when building predictive models. The method of correction term predictive models for short–term forecast. An approach to building the type of predictive models in any type of stress. Analytical contacted fuzzy indicators forecast accuracy Mean absolute percentage error. The technique was tested in the development of predictive models of electric load number of consumers with different types of load charts. The main results of the dissertation found practical application in the form of hardware and software to automate the process of long–term and operational forecasting electricity consumers of electrical loads that can integrate information into an automated accounting system of electricity, as well as operational management mode of distribution networks. VII As a result of the research on the theme of the thesis, the following scientific results were obtained: - the method for obtaining predictive models of electrical loads is improved, which is distinguished by constructing a fuzzy regression compatibility criterion based on the intersection of fuzzy numbers, which makes it possible to uncover the uncertainty of the output data and improve the quality of the prediction of electrical loads. - for the first time the method of unification of the type of forecasting models is proposed, which differs in the fact that in the daily schedule of electricity consumption allocated functional areas, with the separate use for them of fuzzy regression analysis, which allows you to get the kind of forecast models at all loads. - for the first time the method of increasing the adequacy of models obtained on the basis of fuzzy regression analysis, which differs from the parity considering the degree of compatibility and the degree of fuzzy description, which will make prediction of electrical loads more qualitative. - for the first time an analytical method for determining the efficiency of the forecast of electricity consumption in electric networks is determined, which allows to perform a comparative analysis of fuzzy regression models of the forecast with models obtained by other methods. The practical significance of the obtained results of work for the electric power industrylies in the developed method of forecasting electricity consumption based on fuzzy regression analysis, which includes the principles of constructing predictive models, algorithmic support, as well as software implemented in a convenient for integration in AMSCA form. The research results are implemented and confirmed by the relevant acts: - PE "Molokozavod-OLKOM" for the analysis of electricity consumption and operational control in order to reduce energy losses in the network of intra-electric power supply. VIII - in the educational process, the main results of the work are included in the relevant disciplines - "Practical engineering training" and "Engineering activities" in the specialty: 8.10010101 - Power engineering of agricultural production. - Azov REM OJSC "Zaporizhiaoblenergo" used a hardware and software complex for the process of long-term and short-term prediction of electrical loads and operational control of the modes of distribution networks. The basic scientific positions on the materials of the dissertation work are published in 15 printed works, including 9 articles in the scientific professional editions of Ukraine (5 in the publications included in the international science-computer bases, 1 ¬ in the edition with the index SCORUS), 6 in the materials of the conferences and workshops. Thesis consists of introduction, abstract, four sections, conclusions, list of used sources and applications. The total volume of the dissertation is 190 pages, among them: 18 figures in the text, 20 tables in the text, the list of used sources contains 115 titles in 12 pages, applications in 19 pages.
Катюха, Ігор Анатолійович. "Прогнозні моделі електричних навантажень розподільчих мереж в умовах невизначеності вихідної інформації". Thesis, НТУ "ХПІ", 2017. http://repository.kpi.kharkov.ua/handle/KhPI-Press/31032.
Повний текст джерелаDissertation for scientific degree of candidate of technical sciences, specialty 05.14.02 – electric power stations, networks and systems. – Tavricheskiy State Agrotechnology University, Melitopol, 2017. The dissertation devoted to solving actual scientific and technical problem of development of modern science and analytical tools forecast electricity consumption in the face of uncertainty, taking into account the possibility of information support automated systems of commercial accounting of electric power and features of individual consumers and aims to increase efficiency and save electricity. Improved method of fuzzy regression analysis to build long–term forecasting models of electric loads in distribution networks. Included balanced participation of two performance criteria fuzzy models: the degree of combination and degree of fuzziness when building predictive models. The method of correction term predictive models for short–term forecast. An approach to building the type of predictive models in any type of stress. Analytical contacted fuzzy indicators forecast accuracy Mean absolute percentage error. The technique was tested in the development of predictive models of electric load number of consumers with different types of load charts. The main results of the dissertation found practical application in the form of hardware and software to automate the process of long–term and operational forecasting electricity consumers of electrical loads that can integrate information into an automated accounting system of electricity, as well as operational management mode of distribution networks.
Guo, Feng. "Integrating Retired Electric Vehicle Batteries with Photovoltaics in Microgrids." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1408969201.
Повний текст джерелаLu, Bin. "Energy Usage Evaluation and Condition Monitoring for Electric Machines using Wireless Sensor Networks." Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14152.
Повний текст джерелаYakkali, Sai Santosh. "Decomposing Residential Monthly Electric Utility Bill Into HVAC Energy Use Using Machine Learning." University of Cincinnati / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin155437406441298.
Повний текст джерелаDa, Silva David. "Analyse de la flexibilité des usages électriques résidentiels : application aux usages thermiques." Phd thesis, École Nationale Supérieure des Mines de Paris, 2011. http://pastel.archives-ouvertes.fr/pastel-00678316.
Повний текст джерелаКниги з теми "Electrical energy usage"
Kournetas, Nicholas George. The use of oxygen to decrease electrical energy useage in the electric Arc furnace. Ottawa: National Library of Canada, 1998.
Знайти повний текст джерелаPennsylvania Public Utility Commission. Bureau of Consumer Services. Low income usage reduction program (LIURP): Historical report and program analysis. Harrisburg, Pa: The Commission, 1994.
Знайти повний текст джерелаInc, Quantum Consulting, Southern California Edison Company, and Electric Power Research Institute, eds. Residential energy usage comparison: Findings. Palo Alto, CA: The Institute, 1991.
Знайти повний текст джерелаЧастини книг з теми "Electrical energy usage"
Shah, Yatish T. "Modular Systems for Energy Usage in Computer and Electrical/Electronic Applications." In Modular Systems for Energy Usage Management, 217–57. Boca Raton : CRC Press, [2020] | Series: Sustainable energy: CRC Press, 2020. http://dx.doi.org/10.1201/9780367822392-5.
Повний текст джерелаUtlu, Zafer, and Hasan Saygin. "Examination of Energy Usage of Electrical House Applications in Terms of Energy Efficiency." In Renewable Energy in the Service of Mankind Vol II, 277–89. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18215-5_25.
Повний текст джерелаBandaru, Gidean, and Puneet Paneri. "Global System of Record and Framework to Preserve Energy-Usage Data with Blockchain." In Lecture Notes in Electrical Engineering, 83–90. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1299-2_8.
Повний текст джерелаMilev, George, Amin Al-Habaibeh, and Daniel Shin. "Impact of Replacing Conventional Cars with Electric Vehicles on UK Electricity Grid and Carbon Emissions." In Springer Proceedings in Energy, 199–206. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63916-7_25.
Повний текст джерелаAsha, N., and G. Raghavendra Rao. "Energy-Efficiency Driven Strategy for Resource Aggregation Based on Future Resource-Usage Inference in a Cloud Computing Environment." In Lecture Notes in Electrical Engineering, 143–51. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-3125-5_16.
Повний текст джерелаSaqib, Mohd, Sanjeev Anand Sahu, Mohd Sakib, and Essam A. Al-Ammar. "Machine Learning-Based Day-Ahead Market Energy Usage Bidding for Smart Microgrids." In Electric Vehicle Integration in a Smart Microgrid Environment, 249–66. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9780367423926-10.
Повний текст джерелаvan Montfort, Kees, Halldora Thorsdottir, and René Bohnsack. "Optimizing Resource Usage in an Unobtrusive Way Through Smart Aggregation: The Case of Electric Vehicle Charging in Amsterdam." In Regulations in the Energy Industry, 243–61. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-32296-0_13.
Повний текст джерелаLeahu, Cristian-Ioan, Sebastian Radu, Stelian Tarulescu, and Radu Tarulescu. "Usage of Electric Motors/Generators for Engines Supercharging in Order to Increase the Efficiency of Exhaust Gas Energy Recovery." In Proceedings of the 4th International Congress of Automotive and Transport Engineering (AMMA 2018), 550–57. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94409-8_64.
Повний текст джерела"Storage and Usage of Energy." In Technologies for Electrical Power Conversion, Efficiency, and Distribution, 10–31. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-61520-647-6.ch002.
Повний текст джерела"Generator Modeling Practices for Renewable Energy Implementation." In Business Strategies for Electrical Infrastructure Engineering, 89–118. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2839-7.ch004.
Повний текст джерелаТези доповідей конференцій з теми "Electrical energy usage"
Yang, Zhihan, Nigel Goddard, Lynda Webb, and Huiwei Chen. "Electrical Appliance Usage Timeline Data Visualization." In e-Energy '21: The Twelfth ACM International Conference on Future Energy Systems. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3447555.3466637.
Повний текст джерелаBhagwandin, Devika, Vrijesh Tripathi, and Patrick Hosein. "Association Rule Mining of Household Electrical Energy Usage." In the 2017 International Conference. New York, New York, USA: ACM Press, 2017. http://dx.doi.org/10.1145/3089871.3089888.
Повний текст джерелаOliveira, D. Q., A. C. Zambroni de Souza, A. B. Almeida, M. V. Santos, B. I. L. Lopes, and D. Marujo. "Microgrid management in emergency scenarios for smart electrical energy usage." In 2015 IEEE Eindhoven PowerTech. IEEE, 2015. http://dx.doi.org/10.1109/ptc.2015.7232309.
Повний текст джерелаBarmayoon, M. H., M. Fotuhi-Firuzabad, A. Rajabi-Ghahnavieh, and M. Moeini-Aghtaie. "An investigation on the role of energy storage usage in residential energy hubs." In 2015 23rd Iranian Conference on Electrical Engineering (ICEE). IEEE, 2015. http://dx.doi.org/10.1109/iraniancee.2015.7146481.
Повний текст джерелаAikema, David, and Rob Simmonds. "Electrical cost savings and clean energy usage potential for HPC workloads." In 2011 IEEE International Symposium on Sustainable Systems and Technology (ISSST). IEEE, 2011. http://dx.doi.org/10.1109/issst.2011.5936911.
Повний текст джерелаCruz Martins, D., R. Demonti, and I. Barbi. "Usage of the solar energy from the photovoltaic panels for the generation of electrical energy." In 21st International Telecommunications Energy Conference. INTELEC '99 (Cat. No.99CH37007). IEEE, 1999. http://dx.doi.org/10.1109/intlec.1999.794089.
Повний текст джерелаVeremiichuk, Yurii, Olena Yarmoliuk, Ivan Prytyskach, and Vitalii Opryshko. "Modeling energy hub operating modes with demand side management usage." In 2018 International Conference and Exposition on Electrical And Power Engineering (EPE). IEEE, 2018. http://dx.doi.org/10.1109/icepe.2018.8559639.
Повний текст джерелаPholboon, Seksak, Mark Sumner, and Petros Kounnos. "Adaptive power flow control for reducing peak demand and maximizing renewable energy usage." In 2017 International Electrical Engineering Congress (iEECON). IEEE, 2017. http://dx.doi.org/10.1109/ieecon.2017.8075737.
Повний текст джерелаNtsaluba, Sula B. K., Maria Michael, Solathiso Shasha, and Isaac Dlamini. "Electrical Energy Usage Analysis for all Residences of a South African Academic Institution." In 2018 International Conference on Intelligent and Innovative Computing Applications (ICONIC). IEEE, 2018. http://dx.doi.org/10.1109/iconic.2018.8601093.
Повний текст джерелаBentley, Peter J., Soo Ling Lim, Shrey Jindal, and Sid Narang. "Generating Synthetic Energy Usage Data to Enable Machine Learning for Sustainable Accommodation." In 2021 International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME). IEEE, 2021. http://dx.doi.org/10.1109/iceccme52200.2021.9591016.
Повний текст джерелаЗвіти організацій з теми "Electrical energy usage"
de Boer, Jan, Nikodem Derengowski, Marc Fontoynont, Daniel Neves Pimenta, Per Reinhold, and Robert Weitlaner. Standardisation issues related to lighting and daylighting control systems. Edited by Marc Fontoynont. IEA SHC Task 61, October 2021. http://dx.doi.org/10.18777/ieashc-task61-2021-0011.
Повний текст джерела