Bibliographies thématiques / Energy Informatics

Littérature scientifique sur le sujet « Energy Informatics »

Auteur : Grafiati
Publié le 14 mars 2023

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Consultez les listes thématiques d’articles de revues, de livres, de thèses, de rapports de conférences et d’autres sources académiques sur le sujet « Energy Informatics ».

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Articles de revues sur le sujet "Energy Informatics"

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Schmeck, Hartmut, Antonello Monti et Veit Hagenmeyer. « Energy informatics ». Communications of the ACM 65, no 4 (avril 2022) : 58–63. http://dx.doi.org/10.1145/3511666.

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Lehnhoff, Sebastian, et Astrid Nieße. « Energy Informatics ». it - Information Technology 58, no 1 (1 janvier 2016) : 1–2. http://dx.doi.org/10.1515/itit-2015-0048.

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Goebel, Christoph, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath et al. « Energy Informatics ». Business & ; Information Systems Engineering 6, no 1 (21 décembre 2013) : 25–31. http://dx.doi.org/10.1007/s12599-013-0304-2.

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Babak, Vitalii, Artur Zaporozhets, Yurii Kuts Yurii et Leonid Shcherbak. « Some features of Hilbert transform and their use in energy informatics ». Problems of General Energy 2022, no 1-2 (22 mai 2022) : 90–96. http://dx.doi.org/10.15407/pge2022.01-02.090.

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Information-measuring technologies (IMT) are an important instrument for solving problems of energy informatics. They allow to form primary information based on the interaction of energy facilities with IMT sensors that form information signals. In many practical applications, the constructive model of information signals is the model of narrowband signals. The article summarizes the features of the discrete Hilbert transform and its application to obtain the primary characteristics of information signals – bypass and phase as functions of time. The main advantages of using the discrete Hilbert transform in signal processing for energy informatics are considered, including the consistency of obtaining frequency and time characteristics, high information content, the ability to analyze the dynamics of changes in signal characteristics, the possibility of obtaining samples of characteristics of information signals of significant volumes, etc. It is proposed to use a phase characteristic to select the time interval that limits the signal sample and sets it to a multiple of the signal period, and the sampling rate of information signals to reduce the errors in estimating their spectrum. The possibility of obtaining on their basis secondary deterministic (voltage level, voltage deviations from the nominal level, attenuation coefficient, signal period, signal phase shift, oscillation frequency, etc.) and statistical (sample characteristic, sample variance, sample median, sample circular variance, sample circular median, sample circular kurtosis, etc.) of signal information characteristics, which allows more complete to use their information resource. These characteristics can be used both for assessing power quality characteristics and for monitoring and diagnosing of energy facilities. Keywords: energy informatics, information signals, signal processing, discrete Hilbert transform, amplitude signal characteristics, phase signal characteristics
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Lossin, Felix, Allister Loder et Thorsten Staake. « Energy informatics for behavioral change ». Computer Science - Research and Development 31, no 3 (12 décembre 2014) : 149–55. http://dx.doi.org/10.1007/s00450-014-0295-3.

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Huang, Biyao, Xiaomin Bai, Zhenyu Zhou, Quansheng Cui, Daohua Zhu et Ruwei Hu. « Energy informatics : Fundamentals and standardization ». ICT Express 3, no 2 (juin 2017) : 76–80. http://dx.doi.org/10.1016/j.icte.2017.05.006.

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Karpenko, V. M., Yu P. Starodub et O. V. Karpenko. « GEODYNAMICS ». GEODYNAMICS 1(6)2007, no 1(6) (20 septembre 2007) : 81–84. http://dx.doi.org/10.23939/jgd2007.01.081.

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The questions, related to the informative features of oscillator dynamics, which succeed to be learned with the use of energy-informatics approach, are examined in this article. The spatial and kinematics parameters of simple oscillator are examined depending on energy that gives the possibility to define the dynamic parame­ters of oscillator - mass and rigidity. Oscillators are explored with the use of energy-informatics approach with the solution of inverse problem - the determination of mass and flexibility of oscillators' vibrations, which as separate chain lets model the medium.
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Lehnhoff, Sebastian, et Astrid Nieße. « Recent trends in energy informatics research ». it - Information Technology 59, no 1 (20 janvier 2017) : 1–3. http://dx.doi.org/10.1515/itit-2016-0058.

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Grosse, Matti, Hendrik Send et Thomas Schildhauer. « Lessons Learned from Establishing the Energy-Informatics Business Model : Case of a German Energy Company ». Sustainability 11, no 3 (7 février 2019) : 857. http://dx.doi.org/10.3390/su11030857.

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Energy and utilities companies find themselves in a paradoxical situation in which their traditional business models are losing profitability, and they must advocate energy efficiency and climate-protection goals, and thus encourage their customers to save energy. As a result, they must partially cannibalize their business models and experiment with new models and techniques. Energy Informatics (EI) offers promising business opportunities that alleviate the concerns of energy companies about traditional revenue streams. However, recent discussions on this issue lack proof of concept and success determinants. This business case study fills this gap by describing the journey of German energy company Energiequelle, which established a sustainable business model based on EI. On the basis of our interview data, we analyzed Energiequelle’s EI strategy and stakeholder management and present six lessons learned. We believe that our practice-oriented research provides profound insight, especially to high-level executives and policymakers.
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Rizal, Rahmat, Edi Susilo et Salhazan Nasution. « Improving Student’s Coding Skill with Gamification Website-based Program ». International Journal of Electrical, Energy and Power System Engineering 4, no 3 (1 novembre 2021) : 191–95. http://dx.doi.org/10.31258/ijeepse.4.3.191-195.

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People's dependence on digital technology has increased rapidly since the global Covid-19 pandemic. This causes the world's need for digital products and human resources to make digital products higher. Informatics Engineering Program is one of the providers of human resources who are proficient in the field of information technology. One of the basic skills that must be possessed to create digital products is programming or coding skills. The more skilled a person is at typing and understanding coding, the more complex the digital products he can create. This is why the coding ability of students in the Informatics Engineering Program must be improved. This website-based coding training program aims to improve the coding skills of Informatics Engineering students with interesting and fun gamification methods. Gamification methodology will greatly benefit student of Informatics Engineering Program in Riau University to improve his or her coding skill without consuming too much time and energy.
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Thèses sur le sujet "Energy Informatics"

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Adigun, Olayinka. « Energy and spectrum efficient future wireless networks ». Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/28754/.

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Future Wireless Networks (FWN) will be heterogeneous and dynamic networks comprising of different wireless technologies such as cellular technologies; (LTE and LTE-A), Wireless Local Area Networks (WLAN), WiMAX and Wireless Sensor Networks (WSN). They are expected to provide high data rate in excess of I Gbit/s in a variety of scenarios involving mobile users. A number of technologies such as; Multiple Input Multiple Output (MIMO) antennas, Cognitive Radio (CR), Orthogonal Frequency Division Multiple Access (OFDMA), Dynamic Spectrum Access (DSA), Cooperative Communication, white space and 60GHz transmission have been identified as enablers of FWN. However, two critical challenges still facing the realization of the targets of FWNs are enormous energy consumption and limited spectrum bands useful for wireless communications. This thesis has focused on two enabling technologies in future wireless networks; MIMO antennas and Cognitive Radio technology. These two technologies have been chosen as they have the capability to tackle both energy optimization and spectrum scarcity challenges in FWN. This thesis has investigated energy and spectrum efficiency in MIMO antenna technology and has used the Long Term Evolution (LTE); which is positioned to be a strong player amongst cellular technologies in FWN as a case study. The work has presented adapted energy efficiency metrics which serves as a basis for comparison and has shown various relationships between the numbers of transmit and receive antennas, the feedback information and the energy and spectral efficiency of various MIMO schemes in LTE. This thesis has also investigated energy and spectrum efficiency in Cognitive Radio technology. In dealing with energy efficiency in cognitive radio environment, the options of making CR operations more energy efficient and an analytical evaluation of energy consumed at different stages of secondary spectrum usage have been explored. In dealing with spectrum efficiency in cognitive radio environment, this work has investigated and proposed a spectrum decision and allocation scheme whose performance evaluation confirms it has the ability to offer better utilisation of spectrum holes and offer better spectral efficiency.
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Yoberd, Belmond. « An energy expert advisor and decision support system for aluminium melting and casting ». Thesis, Kingston University, 1994. http://eprints.kingston.ac.uk/20580/.

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The aim of this project was to develop and implement an expert advisor system to provide information for selecting and scheduling several items of small foundry plants using electric resistance bale-out furnaces, to optimise metal use and reduce energy costs. This involved study in formulating the procedures and developing a “foundry user friendly” expert system for giving advice to unskilled operatives in what was a complex multi- variable process. This system (FOES) included investigation and development of an advising system on the casting of a large numbers of different objects cast under different operating conditions and electricity tariffs. Knowledge elicitation techniques were developed and used during the complicated knowledge election process. Since this research programme intended to look at the complete process of melting, holding and pouring of the aluminium alloy, complex electricity tariffs were incorporated into the expert system in order to accurately calculate the energy cost of each process. A sub-section of the FOES system (DAD) could advise the unskilled foundry operative identify and eliminate the seven most common aluminium alloy casting defect by using a novel technique of incorporating actual defect photographs which were digitally scanned into the system.
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Schöpf, Michael [Verfasser], et Gilbert [Akademischer Betreuer] Fridgen. « Potentials of energy informatics to incentivize flexibility in the energy system in a short- and long-term perspective / Michael Schöpf ; Betreuer : Gilbert Fridgen ». Bayreuth : Universität Bayreuth, 2020. http://d-nb.info/1204129851/34.

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Reinhardt, Andreas [Verfasser]. « Advances to Energy Informatics : On the Collection, Processing, and Privacy Protection of Electricity Consumption Data / Andreas Reinhardt ». Clausthal-Zellerfeld : Technische Universität Clausthal, 2019. http://d-nb.info/1230990429/34.

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Grigaravičius, Gytis. « Kriptografinių algoritmų įtaka energijos suvartojimui mobiliuose įrenginiuose ». Master's thesis, Lithuanian Academic Libraries Network (LABT), 2013. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2013~D_20130821_140343-63913.

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Magistro baigiamaje darbe nagrinėjama plačiai naudojamų asimetrinių ir simetrinių šifrų bei maišos funkcijų įtaka mobilių įrenginių energijos suvartojimui. Darbe ištirti AES, Camellia ir Serpent simetriniai blokiniai ir RC4 simetrinis srautinis šifras. Tirti asimetriniai šifrai: RSA, DSA, ECDSA ir ElGamal bei MD5, SHA1, SHA2 ir Whirlpool maišos funkcijos. Suformuluotas ir pasiūlytas baterijos elgsenos matematinis modelis. Skirtingi kriptoalgoritmai palyginti energijos sąnaudų atžvilgiu ir atrinkti našiausi kiekvieno tipo šifrai.
Main topic of Master thesis is analysis on how widely used asymmetric and symmetric ciphers and hash functions influence energy consumption then used on mobile devices. In this paper AES, Camellia and Serpent block ciphers and RC4 stream cipher are being analyzed. There were RSA, DSA, ECDSA and ElGamal asymmetric ciphers and MD5, SHA1, SHA2 and Whirlpool hash function analyzed too. Proposed mathematical model of battery behaviour. Different ciphers were compared to each other and energy-wise best one are pointed out from each cipher type.
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Rault, Tifenn. « Energy-efficiency in wireless sensor networks ». Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2228/document.

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Dans cette thèse, nous avons proposé des solutions originales et performantes pour l’économie d’énergie dans les réseaux de capteurs sans fil (RCSF). Ces contributions s'organisent autour de deux grands axes : les réseaux de capteurs génériques et les réseaux de capteurs sans fil dédiés aux applications santé. Dans un premier temps, nous avons réalisé un état-de-l’art des mécanismes d'économie d’énergie pour les RCSF. Nous avons ensuite proposé deux solutions originales : la première optimise le déplacement d’une station de base, ainsi que la façon dont les données sont stockées dans les capteurs et routées vers le puit mobile ; la seconde optimise le déploiement de chargeurs mobiles, qui une fois dans le réseau permettent de satisfaire la demande en énergie des nœuds via la transmission d’énergie sans fil sur plusieurs sauts. Dans un second temps, nous nous sommes intéressés plus particulièrement aux applications des RCSF pour la supervision de patients à distance. Nous avons introduit une nouvelle classification des techniques économes en énergie adaptées à la spécificité de ces applications santé. Nous avons ensuite proposé une nouvelle architecture pour la supervision de patient à distance à l’aide de capteurs sans fil qui permet de prolonger la durée de vie des capteurs et de la station de base. Cette solution prend en compte l’environnement du patient et l’hétérogénéité des appareils. Nos résultats montrent que la durée de vie des réseaux de capteurs sans fil peut être étendue en utilisant les différentes stratégies proposées. L’efficacité de ces approches a été confirmée à l’aide de nombreuses expérimentations numériques et simulations
In this thesis, we propose new strategies for energy conservation in wireless sensor networks, so that the operational time of these networks can be extended. The work can be divided into two main focus area, namely general wireless sensor networks, and healthcareoriented wearable sensor networks. In the first part of this thesis we provide a comprehensive survey of the existing energy-efficient mechanisms. Then, we propose two new solutions: the first one optimizes the displacement of a mobile base station as well as buffer usage and data routing at sensor nodes; the second one optimizes the deployment of wireless chargers in the network to satisfy the energy demand of the sensors. The second part of this thesis is dedicated to healthcare application where wearable sensors are used to remotely supervise a patient. We begin with a state-of-the-art of the energy-efficient techniques existing in the literature. We then introduce a new energy-efficient architecture that allows to optimize the lifetime of both the sensor and the base station. This is a context-aware solution that takes into consideration heterogeneous devices. Our results show that the lifetime of the sensor networks can be extended using the proposed strategies. All the results obtained are supported by numerical experiments and extensive simulations
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Gaudėšius, Rolandas. « Mikrosensorinio tinklo optimalaus maršrutizavimo sistemos sudarymas ir tyrimas ». Master's thesis, Lithuanian Academic Libraries Network (LABT), 2007. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2007~D_20070816_143810-31661.

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Vystyti mikrosensorinio tinklo duomenų perdavimą racionalaus maršrutizavimo sistemoje. Minimizuoti perdavimų skaičių, sudarant bevielį mikrosensorinį tinklą. Taip pat, trumpinti skaičiavimo procesus, kai mazgai turi atlikti racionalų maršrutizavimą. Bevielio mikrosensorinio tinklo trumpiausio kelio radimas turi būti paprastai realizuojamas ir skaičiuojamas.
In this paper it is described a method of creation of the shortest path algorithm for wireless sensor networks. Algorithm computes optimal shortest path and works on any wireless sensor networks topology. One of the limitations of wireless sensor nodes is their inherent limited energy resource. The limited available energy of sensor nodes is mainly problem making communication and computational processing. An energy efficient routing protocol can limit the number of nodes transmissions and the computational complexity of finding the shortest routing path. In the experimental part, the correct functionality of the algorithm is evaluated and the results are analized.
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Medland, Richard C. « Connecting people to their resource consumption through real-time data visualisations ». Thesis, Queensland University of Technology, 2014. https://eprints.qut.edu.au/72791/1/Richard_Medland_Thesis.pdf.

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Combining human-computer interaction and urban informatics, this design research developed and tested novel interfaces offering users real-time feedback on their paper and energy consumption. Findings from deploying these interfaces in both domestic and office environments in Australia, the UK, and Ireland, will innovate future generations of resource monitoring technologies. The study draws conclusions with implications for government policy, the energy industry, and sustainability researchers.
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Zhu, Jun. « Energy and Design Cost Efficiency for Streaming Applications on Systems-on-Chip ». Licentiate thesis, Stockholm : Skolan för informations- och kommunikationsteknik, Kungliga Tekniska högskolan, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-10591.

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Luchesi, Daniela [UNESP]. « Desenvolvimento de um sistema computacional para tratamento de dados meteorológicos no setor de agroenergia ». Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/90598.

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Made available in DSpace on 2014-06-11T19:24:42Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-08-28Bitstream added on 2014-06-13T19:31:34Z : No. of bitstreams: 1 luchesi_d_me_botfca.pdf: 1478619 bytes, checksum: fe1ce4874b37fec4f5c704c741316db9 (MD5)
A agroinformática, termo criado para referenciar a informática aplicada à agricultura, vem ganhando espaço e se organizando nesse novo processo de modernização da agricultura na tentativa de contribuir tanto no aumento da produtividade quanto da qualidade. A informática no ambiente agrícola se encontra presente em diversas propriedades rurais, tanto na área administrativa como na área de gestão proporcionando coordenação nas atividades, uma maior agilidade no fluxo de informações e redução de erros nas operações internas. Em função da crescente presença da informática na agricultura e da utilização de dispositivos de aquisição automática de dados no campo, a presente pesquisa apresenta o desenvolvimento de um programa computacional, Ener Sys, desenvolvido com o objetivo de transformar dados meteorológicos no setor de agroenergia. A partir de um dispositivo automático de aquisição de dados (Campbell Scientific modelo CR23X), desenvolveu-se um sistema computacional para melhor classificar e visualizar os dados de uma forma rápida e simples para o profissional envolvido com as alterações meteorológicas da área sob estudo. O sistema proposto utilizou as seguintes tecnologias computacionais: a linguagem de programação Personal Home Page Hypertext Preprocessor e o banco de dados Firebird. Os resultados obtidos ao término da pesquisa apontam que a abordagem deste trabalho facilitou o acesso a informações armazenadas em grandes massas de dados. O 2 programa computacional desenvolvido, reuniu em uma base unificada, os dados coletados através de um sistema eletrônico de aquisição de dados e facilitou o processamento dos dados proporcionando ganhos na visualização das informações como temperatura (oC), umidade (%), velocidade do vento (m.s-2), direção do vento (graus), chuva (mm) e irradiância (horizontal e vertical).
The agro-informatics, term used as reference to the informatics applied to the agriculture, it has been gaining space and getting organized on this new process of agriculture modernization to try to contribute both to the productivity increase and quality. The informatics at the agricultural environment can be found in many rural properties both in the administrative area and management area, providing coordination in the activities, a better agility with the information flow and error cutback in the internal operations. Due to the growing presence of the informatics in the agriculture and the use of automatic data acquisition devices in the field, this study presents a computer program, Ener Sys, developed with the purpose of transform meteorological data in the agro sector. From an automatic device of data acquisition (Campbell Scientific model CR23X) it was developed a computer system to better classify and visualize the data on a fast and simple way to the professional involved with the study of meteorological variations in this area. The suggested system used the following computer technologies: the Personal Home Page Hypertext Preprocessor programming language and the database Firebird. The results obtained at the end of the research show that the approach of this study made easier the access to the information stored in large amounts of data. The computer program developed, put together in one base, the data collected through an electronic system of data acquisition and made easy the data processing providing a gain on the visualization of information such as temperature (oC), humidity (%), wind speed (m.s-2), wind direction (degrees), rain (mm) and irradiance (horizontal and vertical).
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Livres sur le sujet "Energy Informatics"

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Gottwalt, Sebastian, Lukas König et Hartmut Schmeck, dir. Energy Informatics. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8.

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Cali, Umit, Murat Kuzlu, Manisa Pipattanasomporn, James Kempf et Linquan Bai. Digitalization of Power Markets and Systems Using Energy Informatics. Cham : Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-83301-5.

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Marx Gomez, Jorge, Michael Sonnenschein, Ute Vogel, Andreas Winter, Barbara Rapp et Nils Giesen, dir. Advances and New Trends in Environmental and Energy Informatics. Cham : Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23455-7.

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Gengyuan, Liu, dir. Zhongguo neng yuan an quan fen xi yu yu ce yu jing : Energy informatics, early warning and prediction for China. Beijing : Ke xue chu ban she, 2014.

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GIS applications in agriculture : Nutrient management for energy efficiency. Boca Raton, FL : CRC Press, 2011.

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United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health. Health information technology : Improving quality and value of patient care : hearing before the Subcommittee on Health of the Committee on Energy and Commerce, House of Representatives, One Hundred Eighth Congress, second session, July 22, 2004. Washington : U.S. G.P.O., 2004.

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United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health. Health information technologies : How innovation benefits patients : hearing before the Subcommittee on Health of the Committee on Energy and Commerce, House of Representatives, One Hundred Thirteenth Congress, first session, March 20, 2013. Washington : U.S. Government Printing Office, 2013.

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United States. Congress. House. Committee on Energy and Commerce. Subcommittee on Health. Legislative proposals to promote electronic health records and a smarter information system : Hearing before the Subcommittee on Health of the Committee on Energy and Commerce, House of Representatives, One Hundred Ninth Congress, second session, March 16, 2006. Washington : U.S. G.P.O., 2006.

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Jain, Rishee Kumar. Building Eco-Informatics : Examining the Dynamics of Eco-Feedback Design and Peer Networks to Achieve Sustainable Reductions in Energy Consumption. [New York, N.Y.?] : [publisher not identified], 2013.

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Discussion draft of health information technology and privacy legislation : Hearing before the Subcommittee on Health of the Committee on Energy and Commerce, House of Representatives, One Hundred Tenth Congress, second session, June 4, 2008. Washington : U.S. G.P.O., 2008.

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Chapitres de livres sur le sujet "Energy Informatics"

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Steber, David, Peter Bazan et Reinhard German. « SWARM - Increasing Households’ Internal PV Consumption and Offering Primary Control Power with Distributed Batteries ». Dans Energy Informatics, 3–11. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_1.

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Wenig, Jürgen, Mariya Sodenkamp et Thorsten Staake. « Data-Based Assessment of Plug-in Electric Vehicle Driving ». Dans Energy Informatics, 115–26. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_10.

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Madsen, Jacob Theilgaard, Mislav Findrik, Domagoj Drenjanac et Hans-Peter Schwefel. « Investigating Wind Farm Control Over Different Communication Network Technologies ». Dans Energy Informatics, 129–40. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_11.

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Krebs, Matthias, Stefan Röthlisberger et Peter Gysel. « Secure Communications for Ancillary Services ». Dans Energy Informatics, 141–52. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_12.

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Terruggia, Roberta, et Giovanna Dondossola. « Cyber Security Analysis of Smart Grid Communications with a Network Simulator ». Dans Energy Informatics, 153–64. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_13.

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Hoefling, Michael, Florian Heimgaertner, Daniel Fuchs et Michael Menth. « jOSEF : A Java-Based Open-Source Smart Meter Gateway Experimentation Framework ». Dans Energy Informatics, 165–76. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_14.

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Rivera, José, Christoph Goebel, David Sardari et Hans-Arno Jacobsen. « OpenGridMap : An Open Platform for Inferring Power Grids with Crowdsourced Data ». Dans Energy Informatics, 179–91. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_15.

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Mchedlidze, Tamara, Martin Nöllenburg, Ignaz Rutter, Dorothea Wagner et Franziska Wegner. « Towards Realistic Flow Control in Power Grid Operation ». Dans Energy Informatics, 192–99. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_16.

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Barry, Michael, Moritz Schillinger, Hannes Weigt et René Schumann. « Configuration of Hydro Power Plant Mathematical Models ». Dans Energy Informatics, 200–207. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_17.

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Wilde, Torsten, Tanja Clees, Hayk Shoukourian, Nils Hornung, Michael Schnell, Inna Torgovitskaia, Eric Lluch Alvarez, Detlef Labrenz et Horst Schwichtenberg. « Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach ». Dans Energy Informatics, 208–21. Cham : Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_18.

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Actes de conférences sur le sujet "Energy Informatics"

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Khan, Ammar Ahmed, Mika Ahistus, Tero Liukko, Joni Lumela, Otto Sassi et Seppo J. Ovaska. « aaltOS for energy harvesting applications : Effects of clock frequency and system tick on power and energy consumption ». Dans 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327241.

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Jarabek, Tomas, Peter Laurinec et Maria Lucka. « Energy load forecast using S2S deep neural networks with k-Shape clustering ». Dans 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327236.

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Branco, David, et Pedro Rangel Henriques. « Impact of GCC optimization levels in energy consumption during C/C++ program execution ». Dans 2015 IEEE 13th International Scientific Conference on Informatics. IEEE, 2015. http://dx.doi.org/10.1109/informatics.2015.7377807.

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HIAI, FUMIO. « ENTROPY DENSITY AND FREE ENERGY DENSITY : VARIATIONAL EXPRESSIONS ». Dans Quantum Bio-Informatics — From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812793171_0008.

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Liu, Kai, Xi Zhang et YangQuan Chen. « Energy Informatics and Fractional Calculus ». Dans ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67485.

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Energy informatics (EI) is relatively a blossoming and dynamic research area especially in today’s green manufacturing world. Using renewable energy and clean technology are the keys to a revitalization of the world manufacturing and job creation. Green manufacturing, which reduces resource use, waste and emissions and saving the energy, has become the priority for the manufacturers. Therefore, EI has come into a desirable solution. The fractional calculus (FC) is a mighty tool which can characterize the complex properties of the natural and social phenomena. In this paper, we have provided an overview on the current EI by describing current research topics and methods and then pointed out an outlook of how this new field might be evolved with FC in the coming future.
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Udagawa, T., et M. Sekijima. « Energy Consumption of GPU with Molecular Dynamics ». Dans Informatics 2010. Calgary,AB,Canada : ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.724-013.

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Mrozek, Dariusz, Bozena Malysiak et Stanislaw Kozielski. « Energy profiles in detection of protein structure modifications ». Dans Informatics (ICOCI). IEEE, 2006. http://dx.doi.org/10.1109/icoci.2006.5276462.

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Jadhav, Vivek, Rushikesh Jadhav, Pramod Magar, Sandip Kharat et S. U. Bagwan. « Energy conservation through energy audit ». Dans 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300974.

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« Energy and information technology ». Dans 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549648.

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« Energy and information technology ». Dans 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281808.

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Rapports d'organisations sur le sujet "Energy Informatics"

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Ron Johnson. ENERGY INFORMATION CLEARINGHOUSE. Office of Scientific and Technical Information (OSTI), octobre 2003. http://dx.doi.org/10.2172/822373.

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Author, Not Given. National Renewable Energy Laboratory Information Resources Catalogue : A Collection of Energy Efficiency and Renewable Energy Information Resources. Office of Scientific and Technical Information (OSTI), novembre 1994. http://dx.doi.org/10.2172/10113502.

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Author, Not Given. Wind energy technical information guide. Office of Scientific and Technical Information (OSTI), décembre 1989. http://dx.doi.org/10.2172/5069846.

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anon. Wind Energy Information Guide 2004. Office of Scientific and Technical Information (OSTI), janvier 2004. http://dx.doi.org/10.2172/836723.

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Dr. John W. Lund. Geothermal Energy Information Dissemination and Outreach. Office of Scientific and Technical Information (OSTI), décembre 2005. http://dx.doi.org/10.2172/878452.

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Singh, Reshma, Rod Mahdavi, Paul Mathew, Jessica Granderson et Yash Shukla. Guidelines for Datacenter Energy Information System. Office of Scientific and Technical Information (OSTI), décembre 2013. http://dx.doi.org/10.2172/1171346.

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Weimar, M. R., K. A. Freund et J. M. Roop. Foreign Energy Company Competitiveness : Background information. Office of Scientific and Technical Information (OSTI), octobre 1994. http://dx.doi.org/10.2172/10192468.

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Bigl, Matthew, Caitlin Callaghan, Brandon Booker, Kathryn Trubac, Jacqueline Willan, Paulina Lintsai et Marissa Torres. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 2—data expansion and portal development. Engineer Research and Development Center (U.S.), janvier 2022. http://dx.doi.org/10.21079/11681/43062.

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As the largest Department of Defense (DoD) land user in Alaska, the U.S. Army oversees over 600,000 hectares of land, including remote areas accessible only by air, water, and winter ice roads. Spatial information related to the energy resources and infrastructure that exist on and adjacent to DoD installations can help inform decision makers when it comes to installation planning. The Energy Atlas−Alaska portal provides a secure value-added resource to support the decision-making process for energy management, investments in installation infrastructure, and improvements to energy resiliency and sustainability. The Energy Atlas–Alaska portal compiles spatial information and provides that information through a secure online portal to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The information database is hosted on a secure Common Access Card-authenticated portal that is accessible to the DoD and its partners through the Army Geospatial Center’s Enterprise Portal. This Enterprise Portal provides effective visualization and functionality to support analysis and inform DoD decision makers. The Energy Atlas–Alaska portal helps the DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac et Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), octobre 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac et Jacqueline Willan. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), octobre 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Alaska utilizes spatial information and provides a consistent GIS (geographic information system) framework to access and examine energy and related resource data such as energy resource potential, energy corridors, and environmental information. The database can be made accessible to DoD and its partners through an ArcGIS-based user interface that provides effective visualization and functionality to support analysis and to inform DoD decision-makers. The Energy Atlas–Alaska helps DoD account for energy in contingency planning, acquisition, and life-cycle requirements and ensures facilities can maintain operations in the face of disruption.
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