Literatura académica sobre el tema "Energy Informatics"
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Artículos de revistas sobre el tema "Energy Informatics"
Schmeck, Hartmut, Antonello Monti y Veit Hagenmeyer. "Energy informatics". Communications of the ACM 65, n.º 4 (abril de 2022): 58–63. http://dx.doi.org/10.1145/3511666.
Texto completoLehnhoff, Sebastian y Astrid Nieße. "Energy Informatics". it - Information Technology 58, n.º 1 (1 de enero de 2016): 1–2. http://dx.doi.org/10.1515/itit-2015-0048.
Texto completoGoebel, Christoph, Hans-Arno Jacobsen, Victor del Razo, Christoph Doblander, Jose Rivera, Jens Ilg, Christoph Flath et al. "Energy Informatics". Business & Information Systems Engineering 6, n.º 1 (21 de diciembre de 2013): 25–31. http://dx.doi.org/10.1007/s12599-013-0304-2.
Texto completoBabak, Vitalii, Artur Zaporozhets, Yurii Kuts Yurii y Leonid Shcherbak. "Some features of Hilbert transform and their use in energy informatics". Problems of General Energy 2022, n.º 1-2 (22 de mayo de 2022): 90–96. http://dx.doi.org/10.15407/pge2022.01-02.090.
Texto completoLossin, Felix, Allister Loder y Thorsten Staake. "Energy informatics for behavioral change". Computer Science - Research and Development 31, n.º 3 (12 de diciembre de 2014): 149–55. http://dx.doi.org/10.1007/s00450-014-0295-3.
Texto completoHuang, Biyao, Xiaomin Bai, Zhenyu Zhou, Quansheng Cui, Daohua Zhu y Ruwei Hu. "Energy informatics: Fundamentals and standardization". ICT Express 3, n.º 2 (junio de 2017): 76–80. http://dx.doi.org/10.1016/j.icte.2017.05.006.
Texto completoKarpenko, V. M., Yu P. Starodub y O. V. Karpenko. "GEODYNAMICS". GEODYNAMICS 1(6)2007, n.º 1(6) (20 de septiembre de 2007): 81–84. http://dx.doi.org/10.23939/jgd2007.01.081.
Texto completoLehnhoff, Sebastian y Astrid Nieße. "Recent trends in energy informatics research". it - Information Technology 59, n.º 1 (20 de enero de 2017): 1–3. http://dx.doi.org/10.1515/itit-2016-0058.
Texto completoGrosse, Matti, Hendrik Send y Thomas Schildhauer. "Lessons Learned from Establishing the Energy-Informatics Business Model: Case of a German Energy Company". Sustainability 11, n.º 3 (7 de febrero de 2019): 857. http://dx.doi.org/10.3390/su11030857.
Texto completoRizal, Rahmat, Edi Susilo y Salhazan Nasution. "Improving Student’s Coding Skill with Gamification Website-based Program". International Journal of Electrical, Energy and Power System Engineering 4, n.º 3 (1 de noviembre de 2021): 191–95. http://dx.doi.org/10.31258/ijeepse.4.3.191-195.
Texto completoTesis sobre el tema "Energy Informatics"
Adigun, Olayinka. "Energy and spectrum efficient future wireless networks". Thesis, Kingston University, 2014. http://eprints.kingston.ac.uk/28754/.
Texto completoYoberd, Belmond. "An energy expert advisor and decision support system for aluminium melting and casting". Thesis, Kingston University, 1994. http://eprints.kingston.ac.uk/20580/.
Texto completoSchöpf, Michael [Verfasser] y 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.
Texto completoReinhardt, 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.
Texto completoGrigaravičius, 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.
Texto completoMain 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.
Rault, Tifenn. "Energy-efficiency in wireless sensor networks". Thesis, Compiègne, 2015. http://www.theses.fr/2015COMP2228/document.
Texto completoIn 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
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.
Texto completoIn 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.
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.
Texto completoZhu, 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.
Texto completoLuchesi, 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.
Texto completoA 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).
Libros sobre el tema "Energy Informatics"
Gottwalt, Sebastian, Lukas König y Hartmut Schmeck, eds. Energy Informatics. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8.
Texto completoCali, Umit, Murat Kuzlu, Manisa Pipattanasomporn, James Kempf y 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.
Texto completoMarx Gomez, Jorge, Michael Sonnenschein, Ute Vogel, Andreas Winter, Barbara Rapp y Nils Giesen, eds. 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.
Texto completoGengyuan, Liu, ed. 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.
Buscar texto completoGIS applications in agriculture: Nutrient management for energy efficiency. Boca Raton, FL: CRC Press, 2011.
Buscar texto completoUnited 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.
Buscar texto completoUnited 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.
Buscar texto completoUnited 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.
Buscar texto completoJain, 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.
Buscar texto completoDiscussion 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.
Buscar texto completoCapítulos de libros sobre el tema "Energy Informatics"
Steber, David, Peter Bazan y Reinhard German. "SWARM - Increasing Households’ Internal PV Consumption and Offering Primary Control Power with Distributed Batteries". En Energy Informatics, 3–11. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_1.
Texto completoWenig, Jürgen, Mariya Sodenkamp y Thorsten Staake. "Data-Based Assessment of Plug-in Electric Vehicle Driving". En Energy Informatics, 115–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_10.
Texto completoMadsen, Jacob Theilgaard, Mislav Findrik, Domagoj Drenjanac y Hans-Peter Schwefel. "Investigating Wind Farm Control Over Different Communication Network Technologies". En Energy Informatics, 129–40. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_11.
Texto completoKrebs, Matthias, Stefan Röthlisberger y Peter Gysel. "Secure Communications for Ancillary Services". En Energy Informatics, 141–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_12.
Texto completoTerruggia, Roberta y Giovanna Dondossola. "Cyber Security Analysis of Smart Grid Communications with a Network Simulator". En Energy Informatics, 153–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_13.
Texto completoHoefling, Michael, Florian Heimgaertner, Daniel Fuchs y Michael Menth. "jOSEF: A Java-Based Open-Source Smart Meter Gateway Experimentation Framework". En Energy Informatics, 165–76. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_14.
Texto completoRivera, José, Christoph Goebel, David Sardari y Hans-Arno Jacobsen. "OpenGridMap: An Open Platform for Inferring Power Grids with Crowdsourced Data". En Energy Informatics, 179–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_15.
Texto completoMchedlidze, Tamara, Martin Nöllenburg, Ignaz Rutter, Dorothea Wagner y Franziska Wegner. "Towards Realistic Flow Control in Power Grid Operation". En Energy Informatics, 192–99. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_16.
Texto completoBarry, Michael, Moritz Schillinger, Hannes Weigt y René Schumann. "Configuration of Hydro Power Plant Mathematical Models". En Energy Informatics, 200–207. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_17.
Texto completoWilde, Torsten, Tanja Clees, Hayk Shoukourian, Nils Hornung, Michael Schnell, Inna Torgovitskaia, Eric Lluch Alvarez, Detlef Labrenz y Horst Schwichtenberg. "Increasing Data Center Energy Efficiency via Simulation and Optimization of Cooling Circuits - A Practical Approach". En Energy Informatics, 208–21. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25876-8_18.
Texto completoActas de conferencias sobre el tema "Energy Informatics"
Khan, Ammar Ahmed, Mika Ahistus, Tero Liukko, Joni Lumela, Otto Sassi y Seppo J. Ovaska. "aaltOS for energy harvesting applications: Effects of clock frequency and system tick on power and energy consumption". En 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327241.
Texto completoJarabek, Tomas, Peter Laurinec y Maria Lucka. "Energy load forecast using S2S deep neural networks with k-Shape clustering". En 2017 IEEE 14th International Scientific Conference on Informatics. IEEE, 2017. http://dx.doi.org/10.1109/informatics.2017.8327236.
Texto completoBranco, David y Pedro Rangel Henriques. "Impact of GCC optimization levels in energy consumption during C/C++ program execution". En 2015 IEEE 13th International Scientific Conference on Informatics. IEEE, 2015. http://dx.doi.org/10.1109/informatics.2015.7377807.
Texto completoHIAI, FUMIO. "ENTROPY DENSITY AND FREE ENERGY DENSITY: VARIATIONAL EXPRESSIONS". En Quantum Bio-Informatics — From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2008. http://dx.doi.org/10.1142/9789812793171_0008.
Texto completoLiu, Kai, Xi Zhang y YangQuan Chen. "Energy Informatics and Fractional Calculus". En 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.
Texto completoUdagawa, T. y M. Sekijima. "Energy Consumption of GPU with Molecular Dynamics". En Informatics 2010. Calgary,AB,Canada: ACTAPRESS, 2010. http://dx.doi.org/10.2316/p.2010.724-013.
Texto completoMrozek, Dariusz, Bozena Malysiak y Stanislaw Kozielski. "Energy profiles in detection of protein structure modifications". En Informatics (ICOCI). IEEE, 2006. http://dx.doi.org/10.1109/icoci.2006.5276462.
Texto completoJadhav, Vivek, Rushikesh Jadhav, Pramod Magar, Sandip Kharat y S. U. Bagwan. "Energy conservation through energy audit". En 2017 International Conference on Trends in Electronics and Informatics (ICOEI). IEEE, 2017. http://dx.doi.org/10.1109/icoei.2017.8300974.
Texto completo"Energy and information technology". En 2010 8th IEEE International Conference on Industrial Informatics (INDIN). IEEE, 2010. http://dx.doi.org/10.1109/indin.2010.5549648.
Texto completo"Energy and information technology". En 2015 IEEE 13th International Conference on Industrial Informatics (INDIN). IEEE, 2015. http://dx.doi.org/10.1109/indin.2015.7281808.
Texto completoInformes sobre el tema "Energy Informatics"
Ron Johnson. ENERGY INFORMATION CLEARINGHOUSE. Office of Scientific and Technical Information (OSTI), octubre de 2003. http://dx.doi.org/10.2172/822373.
Texto completoAuthor, 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), noviembre de 1994. http://dx.doi.org/10.2172/10113502.
Texto completoAuthor, Not Given. Wind energy technical information guide. Office of Scientific and Technical Information (OSTI), diciembre de 1989. http://dx.doi.org/10.2172/5069846.
Texto completoanon. Wind Energy Information Guide 2004. Office of Scientific and Technical Information (OSTI), enero de 2004. http://dx.doi.org/10.2172/836723.
Texto completoDr. John W. Lund. Geothermal Energy Information Dissemination and Outreach. Office of Scientific and Technical Information (OSTI), diciembre de 2005. http://dx.doi.org/10.2172/878452.
Texto completoSingh, Reshma, Rod Mahdavi, Paul Mathew, Jessica Granderson y Yash Shukla. Guidelines for Datacenter Energy Information System. Office of Scientific and Technical Information (OSTI), diciembre de 2013. http://dx.doi.org/10.2172/1171346.
Texto completoWeimar, M. R., K. A. Freund y J. M. Roop. Foreign Energy Company Competitiveness: Background information. Office of Scientific and Technical Information (OSTI), octubre de 1994. http://dx.doi.org/10.2172/10192468.
Texto completoBigl, Matthew, Caitlin Callaghan, Brandon Booker, Kathryn Trubac, Jacqueline Willan, Paulina Lintsai y 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.), enero de 2022. http://dx.doi.org/10.21079/11681/43062.
Texto completoCallaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac y 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.), octubre de 2021. http://dx.doi.org/10.21079/11681/42226.
Texto completoCallaghan, Caitlin, Matthew Bigl, Brandon Booker, Kyle Elliott, Paulina Lintsai, Marissa Torres, Kathryn Trubac y 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.), octubre de 2021. http://dx.doi.org/10.21079/11681/42226.
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