Academic literature on the topic 'Smarth energy'
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Journal articles on the topic "Smarth energy"
Babu, A. Narendra, Ch V. L. D. Kavya, A. Praneetha, T. T. Sai Dhanush, T. V. Ramanaiah, K. Nidheesh, and P. S. Brahmanandam. "Smart Energy Meter." Indian Journal Of Science And Technology 15, no. 29 (August 5, 2022): 1451–57. http://dx.doi.org/10.17485/ijst/v15i29.1241.
Full textRyu, Sung Uk, Hwang Bae, Jin Hwa Yang, Byong Guk Jeon, Eun Koo Yun, Jaemin Kim, Yoon Gon Bang, Myung Joon Kim, Sung-Jae Yi, and Hyun-Sik Park. "An Experimental Study on Flow Distributor Performance with Single-Train Passive Safety System of SMART-ITL." Journal of Energy Engineering 25, no. 4 (December 30, 2016): 124–32. http://dx.doi.org/10.5855/energy.2016.25.4.124.
Full textTharuka Lulbadda, Kushan, and K. T. M. U. Hemapala. "The additional functions of smart inverters." AIMS Energy 7, no. 6 (2019): 971–88. http://dx.doi.org/10.3934/energy.2019.6.971.
Full textAleksandrovich, Panfilov Stepan. "Energy Efficient System "Smart House"." Journal of Advanced Research in Dynamical and Control Systems 12, SP7 (July 25, 2020): 260–62. http://dx.doi.org/10.5373/jardcs/v12sp7/20202106.
Full textShinde, Mrs Sandhya, Mr Yogesh Yadav, and Miss Bharti Sontakke Miss Pratiksha Zapake. "IoT Based Smart Energy Meter." International Journal of Trend in Scientific Research and Development Volume-1, Issue-6 (October 31, 2017): 1151–53. http://dx.doi.org/10.31142/ijtsrd5761.
Full textJoshi, Dr Shreedhar A., Srijay Kolvekar, Y. Rahul Raj, and Shashank Singh Singh. "IoT Based Smart Energy Meter." Bonfring International Journal of Research in Communication Engineering 6, Special Issue (November 30, 2016): 89–91. http://dx.doi.org/10.9756/bijrce.8209.
Full textKavousi-Fard, Abdollah, and Amin Khodaei. "Multi-objective optimal operation of smart reconfigurable distribution grids." AIMS Energy 4, no. 2 (2016): 206–21. http://dx.doi.org/10.3934/energy.2016.2.206.
Full textD’Alpaos, Chiara, and Michele Moretto. "Do Smart grids innovation affect real estate market values?" AIMS Energy 7, no. 2 (2019): 141–50. http://dx.doi.org/10.3934/energy.2019.2.141.
Full textK., Dr Shanthi. "IoT based Smart Energy Theft Detection System in Smart Home." Journal of Advanced Research in Dynamical and Control Systems 12, SP8 (July 30, 2020): 605–13. http://dx.doi.org/10.5373/jardcs/v12sp8/20202561.
Full textSolovey, V., V. Filenko, F. Tinti, A. Shevchenko, and M. Zipunnikov. "Smart PV-H2 grid energy complex." Journal of Mechanical Engineering 20, no. 3 (September 30, 2017): 49–53. http://dx.doi.org/10.15407/pmach2017.03.049.
Full textDissertations / Theses on the topic "Smarth energy"
Nydahl, Helena, and Annica Marmolin. "Smarta elnät med fokus på energilager; en lösning till hållbar tryckluftsförsörjning inom industrin : Simulering och optimering av energilager för utjämning av intermittenta energikällor." Thesis, Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-37060.
Full textThe world’s energy demand is expected to increase and at the same time the environmental requirements are becoming stricter. To deal with the climate change and the greenhouse gas emissions, the use of fossil fuel need to decrease, while the energy efficiency and renewable energy production must increase. A greater share of intermittent renewable energy on the electricity market entails challenges. If there is no need for electricity when the wind is blowing or when the sun is shining the electricity is lost, this leads to production and consumption of electricity must occur simultaneously. To expand the renewable energy and make it more efficient, society must develop a smart grid. There are different opinions about what it takes to create smart grids, but electrical energy storage, EES, reappears frequently in the literature. There are even scientists who believe that investment in intermittent renewable energy sources is not an option unless energy can be stored. Compressed air energy storage is a technique that uses compressed air to store energy until there is a demand. The Swedish industry accounts for over a third of total energy consumption in the country. Over 90 % of the all manufacturing industry uses compressed air. There are big and small users of compressed air depending on the industry. In this study, an international status description is given in the development of smart grids with a focus on electrical energy storage systems. The aim of this study is to be an information carrier that creates discussion and new ideas. The international status description is based on field visits, literature surveys and interviews. The results from the international status description shows that interest in electric energy storage systems is increasing since it is a central part in the development of smart grids. Between 2011 and 2013 the investments increased in electrical energy storage with 521 %. One reason for this increase is the international trend of micro grids and small decentralized power plants. With the increased demand for energy storage, new energy storage systems are created and existing systems evolve. The purpose of the study is also to examine if energy storage is a solution for a sustainable supply of compressed air in the industry. The goal is to design a compressed air system consisting of wind turbines and energy storage with a certain volume and maximum pressure, for a large and a small compressed air consumer. The study will also determine the cost saving for the big users is an optimized through arbitrage. The design is based on simulations in Simulink and the optimization is done in MATLAB. The selected compressed air system for the large consumer is based on one wind turbine, energy storage of 200 m3 with a maximum pressure of 10 bar. The coverage ratio, i.e. the proportion of the air need that is covered by wind energy with energy storage, is 26 %. An investment in this system would give reduced energy consumption by 48 % leading to a cost reduction of about 1.2 million SEK and a reduced environmental impact equivalent to 532 tons of CO2-equivalents. The generator then has an efficiency of 85 %, and the compressor has 90 %. The selected compressed air system for the smaller consumer achieves a coverage rate of 61 % with the following dimensions; one windmill, energy storage of 20 m3 and maximum pressure of 30 bar. An investment in this system would give a reduced energy consumption by 93 %, leading to a cost reduction of about 26 000 SEK and a reduced environmental impact equivalent to 10.7 ton of CO2 equivalents. The difference between a windmill and a wind turbine is that the windmill does not produce electricity instead it uses kinetic energy directly. A system consisting of energy storage driven by energy from the wind is more suited for smaller air requirements where it is possible to achieve greater coverage. The transition to smart grids is necessary to be able to meet all aspects of sustainable development. There is no part of smart grids that is more important. Sustainable use of compressed air in industry is a part of smart grids and to make it possible energy storage is crucial. The international status description shows that there is a growing international interest in EES but there isn’t one EES alone that will solve the integration of renewable energy. The techniques for energy storage are existing today and are growing tomorrow.
OSMAN, NADA, and IBRAHIM ELNOUR. "Smart Energy Solutions as TechnologicalConfigurations : Implications on theOrganizational Strategy." Thesis, KTH, Hållbarhet och industriell dynamik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-199082.
Full textThe long-stable eletric utility industry is undergoing major transformations. Regulatory frameworks, enviromental concerns, advancements in the renewable genration and ICT have caused severe pressure on the business model of conventional electric utilites. For these utilities; profit margins have declined considerably, large generation assests are being phased-out,and there is a pressing need to generate investments to meet the regulatory requirements. In search for new business opportunities, electric utilties are exploring new business areas, Smart Energy Solutions represent an emerging market, with untapped potentials. This research was commissioned by the Swedish electric utility Vattenfall AB, to identify market opportunities for Vattenfall Smart Energy Solutions, targetting the small and medium size enterprises SMEs. The purpose of this research has been to investigate the required alignment between the organization, Smart Energy Solutions and the SMEs market; the findings were used to propose a strategy for the development of Smart Energy Solutions targeting the SMEs. Upon analyzing the characteristics of Smart Energy Solutions and the characteristics of SMEs, the finding of this research are: first, Smart Energy Solutions is identified as "Technological Configuration", second: the SMEs are heterogeneous in nature; thereby they can’t be targeted through uniform solutions, third: based on the previous two findings; and considering the organizational context; a strategy was proposed for the successful innovation of Smart Energy Solutions targeting the SMEs.
Li, Jianing. "Shared smart energy storage system for smart homes and smart buildings." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6728/.
Full textVilla-Arrieta, Manuel. "Energy sustainability of smart cities." Doctoral thesis, Universitat Politècnica de Catalunya, 2019. http://hdl.handle.net/10803/671008.
Full textEl aumento del consumo energético de las ciudades previsto para los próximos años hace que estas urbes tiendan a ser representativas de la sostenibilidad energética de sus países. En este sentido, en base al análisis del modelo de gestión y desarrollo tecnológico para áreas urbanas "Smart City", el objetivo de esta Tesis es estudiar la escalabilidad desde edificios hasta el nivel de país, de la reducción del consumo energético y el aumento del autoconsumo fotovoltaico. La contribución de esta Tesis se basa en su relevancia en el proceso de transición energética hacia una economía descarbonizada. Específicamente, en el estudio de la flexibilización del funcionamiento del sistema eléctrico a través del empoderamiento del consumidor. Así, dividida en seis capítulos, esta Tesis aborda un amplio trabajo de investigación centrado en identificar la relación entre la sostenibilidad energética y las "Smart Cities", en base al estudio de la gestión activa de la demanda y la evaluación del desempeño técnico-económico de edificios y ciudades de consumo energético casi nulo. El Capítulo 1 sirve de prefacio a la investigación de la Tesis describiendo la relación entre el estudio del cambio climático, la sostenibilidad energética y la transición energética bajo el concepto "Smart City". En el capítulo 2, "Contribution of Cities to Transition and Energy Sustainability", se presenta el análisis de la relación entre ambos conceptos . La principal contribución de este capitulo es la presentación de la hipótesis de la representatividad de la sostenibilidad energética de las ciudades en la sostenibilidad energética de sus países. En el capítulo 3, "Electricity strategic conservation through Smart Meters and Demand Side Response: A review", se estudia la contribución del consumidor a la flexibilización de la operación del sistema eléctrico. Basado en una revisión sistemática de referencias, este capítulo analiza los resultados de los trabajos empíricos sobre la reducción del consumo eléctrico en los hogares a través de la retroalimentación de la información energética. El Capítulo 4, "A model for an economic evaluation of energysystems using TRNSYS", contribuye con la descripción y validación de la metodología de cálculo económico de un modelo propuesto para evaluar "Nearly Zero Energy Buildings" y sistemas de generación distribuida. Continuando con esta contribución, en el capítulo 5 "Economic evaluation of Nearly Zero Energy Cities", el modelo de evaluación económica es aplicado a un modelo de simulación del desempeño energético del autoconsumo energético de ciudades. Desempeño el cual, se basa en la distribución de energía entre consumidores, prosumidores y productores de energía, y el aumento del consumo de recursos energéticos renovables locales en detrimento del consumo de fuentes externas. Cada uno de estos dos capítulos 4 y 5, fue publicado en la revista científica Applied Energy (Q1). Finalmente, el capítulo 6 presenta las conclusiones de la investigación, destacando entre ellas que para mantener en equilibrio la seguridad del suministro eléctrico, la equidad en el acceso a la energía y la sostenibilidad ambiental del binomio entre ciudad y país, la evaluación de la sostenibilidad energética debe abordarse desde la efectividad de los sistemas eléctricos de las Smart Cities. La investigación cubierta en esta Tesis abre a la posibilidad de abordar los siguientes tres trabajos de investigación en el futuro. 1) Diseñar una metodología para evaluar la sostenibilidad energética de las ciudades que vincule la evaluación de la efectividad de "Smart Energy Systems" con la evaluación de objetivos climáticos locales y nacionales .2) Ampliar la aplicación del modelo "Nearly Zero Energy Cities" para convertir sus resultados en un indicador de la flexibilidad de los sistemas eléctricos urbanos. Y 3) evaluar con este modelo otras ciudades del mundo,
Lara, Topol. "Smart energy city critical infrastructures." Thesis, Norges teknisk-naturvitenskapelige universitet, Institutt for elkraftteknikk, 2014. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-27245.
Full textMacIsaac, Liam J. "Modelling smart domestic energy systems." Thesis, University of Glasgow, 2013. http://theses.gla.ac.uk/4214/.
Full textKinner, Robert Howard. "Green Energy Through Smart Ceramics." University of Toledo / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1321498366.
Full textDemadema, Kwanele. "Smart Home Energy Management System." Thesis, Demadema, Kwanele (2018) Smart Home Energy Management System. Honours thesis, Murdoch University, 2018. https://researchrepository.murdoch.edu.au/id/eprint/44789/.
Full textGünther, Niklas, and Christoph Mengs. "Smart Metering: Einsparpotentiale für Kommunen?" Universität Leipzig, 2018. https://ul.qucosa.de/id/qucosa%3A34234.
Full textFalcey, Jonathan M. "Electricity Markets, Smart Grids and Smart Buildings." Thesis, University of Denver, 2013. http://pqdtopen.proquest.com/#viewpdf?dispub=1536975.
Full textA smart grid is an electricity network that accommodates two-way power flows, and utilizes two-way communications and increased measurement, in order to provide more information to customers and aid in the development of a more efficient electricity market. The current electrical network is outdated and has many shortcomings relating to power flows, inefficient electricity markets, generation/supply balance, a lack of information for the consumer and insufficient consumer interaction with electricity markets. Many of these challenges can be addressed with a smart grid, but there remain significant barriers to the implementation of a smart grid.
This paper proposes a novel method for the development of a smart grid utilizing a bottom up approach (starting with smart buildings/campuses) with the goal of providing the framework and infrastructure necessary for a smart grid instead of the more traditional approach (installing many smart meters and hoping a smart grid emerges). This novel approach involves combining deterministic and statistical methods in order to accurately estimate building electricity use down to the device level. It provides model users with a cheaper alternative to energy audits and extensive sensor networks (the current methods of quantifying electrical use at this level) which increases their ability to modify energy consumption and respond to price signals
The results of this method are promising, but they are still preliminary. As a result, there is still room for improvement. On days when there were no missing or inaccurate data, this approach has R2 of about 0.84, sometimes as high as 0.94 when compared to measured results. However, there were many days where missing data brought overall accuracy down significantly. In addition, the development and implementation of the calibration process is still underway and some functional additions must be made in order to maximize accuracy. The calibration process must be completed before a reliable accuracy can be determined.
While this work shows that a combination of a deterministic and statistical methods can accurately forecast building energy usage, the ability to produce accurate results is heavily dependent upon software availability, accurate data and the proper calibration of the model. Creating the software required for a smart building model is time consuming and expensive. Bad or missing data have significant negative impacts on the accuracy of the results and can be caused by a hodgepodge of equipment and communication protocols. Proper calibration of the model is essential to ensure that the device level estimations are sufficiently accurate. Any building model which is to be successful at creating a smart building must be able to overcome these challenges.
Books on the topic "Smarth energy"
Servatius, Hans-Gerd, Uwe Schneidewind, and Dirk Rohlfing, eds. Smart Energy. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-21820-0.
Full textAichele, Christian. Smart Energy. Wiesbaden: Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-1981-9.
Full textIllinois. Bureau of Energy and Recycling. Smart Energy Design Assistance Program: Working towards smarter buildings with the Smart Energy Design Assistance Center. Springfield, Ill.]: Illinois Dept. of Commerce and Economic Opportunity, [Bureau of Energy & Recycling, 2008.
Find full textNathanail, Eftihia G., Nikolaos Gavanas, and Giannis Adamos, eds. Smart Energy for Smart Transport. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-23721-8.
Full textZhou, Kaile, and Lulu Wen. Smart Energy Management. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-9360-1.
Full textPapa, Rocco, and Romano Fistola, eds. Smart Energy in the Smart City. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31157-9.
Full textPloix, Stephane, Manar Amayri, and Nizar Bouguila, eds. Towards Energy Smart Homes. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-76477-7.
Full textSolovev, Denis B., Grigorios L. Kyriakopoulos, and Terziev Venelin, eds. SMART Automatics and Energy. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8759-4.
Full textWang, Jennifer. Smart energy resources guide. Cincinnati, OH: U.S. Environmental Protection Agency, Office of Research and Development, National Risk Management Research Laboratory, 2008.
Find full textIllinois. Bureau of Energy and Recycling. Small Business $mart Energy Program: Working towards smarter buildings with the Smart Energy Design Assistance Center. Springfield, Ill.]: Illinois Dept. of Commerce and Economic Opportunity, [Bureau of Energy & Recycling, 2006.
Find full textBook chapters on the topic "Smarth energy"
Goerdeler, Andreas. "E-Energy – Deutschlands Weg zum Internet der Energie." In Smart Energy, 277–85. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21820-0_17.
Full textLeblebici, Anil, Patrick Mayor, Martin Rajman, and Giovanni De Micheli. "Smart Energy." In Nano-Tera.ch, 109–37. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-99109-2_4.
Full textLoske, Moritz. "Smart Energy." In Nanoelectronics, 471–88. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2017. http://dx.doi.org/10.1002/9783527800728.ch20.
Full textAichele, Christian. "Smart Energy." In Smart Energy, 1–20. Wiesbaden: Vieweg+Teubner Verlag, 2012. http://dx.doi.org/10.1007/978-3-8348-1981-9_1.
Full textOsterhage, Wolfgang. "Smart Energy." In Chancen und Grenzen der Energieverwertung, 115–18. Wiesbaden: Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-23902-2_7.
Full textLiggesmeyer, Peter, Dieter Rombach, and Frank Bomarius. "Smart Energy." In Digital Transformation, 335–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-662-58134-6_20.
Full textLiggesmeyer, Peter, Dieter Rombach, and Frank Bomarius. "Smart Energy." In Digitalisierung, 347–63. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-55890-4_20.
Full textGao, Jianbin, Qi Xia, Kwame Omono Asamoah, and Bonsu Adjei-Arthur. "Smart Energy." In Smart Cities, 159–78. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/9781003289418-9.
Full textOsterhage, Wolfgang. "Smart Energy." In Energy Utilisation: The Opportunities and Limits, 145–48. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79404-0_7.
Full textAbid, Mohamed Nadhir, and Khadija Abid. "SMART Irrigation System (SMARTIS)—Desert Areas." In Sustainable Energy-Water-Environment Nexus in Deserts, 267–77. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-76081-6_33.
Full textConference papers on the topic "Smarth energy"
Katz, Jeffrey S. "Educating the Smart Grid." In 2008 IEEE Energy 2030 Conference. IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4780998.
Full textBennett, Coalton, and Darren Highfill. "Networking AMI Smart Meters." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781067.
Full textDeBlasio, Richard, and Cherry Tom. "Standards for the Smart Grid." In 2008 IEEE Energy 2030 Conference. IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4780988.
Full textMalidin, Anne-Solene, Clara Kayser-Bril, Nadia Maizi, Edi Assoumou, Veronique Boutin, and Vincent Mazauric. "Assessing the Impact of Smart Building Techniques: a Prospective Study for France." In 2008 IEEE Energy 2030 Conference (Energy). IEEE, 2008. http://dx.doi.org/10.1109/energy.2008.4781017.
Full textYamane, Amine, and Simon Abourida. "Real-time simulation of distributed energy systems and microgrids." In 2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART). IEEE, 2015. http://dx.doi.org/10.1109/smart.2015.7399214.
Full textVargas Salgado, Carlos, Cristian Chiñas-Palacios, Jesús Águila-León, and Elías Hurtado-Perez. "Arduino Based Smart Power Meter: A Low-cost Approach for Academic and Research Applications." In INNODOCT 2020. Valencia: Editorial Universitat Politècnica de València, 2020. http://dx.doi.org/10.4995/inn2020.2020.11904.
Full textHubner, Markus, Michael Schmitt, and Michael Schier. "Influences of different heating strategies on the energy demand of an airfield luggage tug." In 2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART). IEEE, 2015. http://dx.doi.org/10.1109/smart.2015.7399262.
Full textAli, Naser, Mohamed Sebzali, Altaf Safar, and Fadi Al-Khatib. "A feasibility study of using waste cooking oil as a form of energy in Kuwait." In 2015 International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART). IEEE, 2015. http://dx.doi.org/10.1109/smart.2015.7399255.
Full text"Smart Energy." In 2018 International Conference on Smart Systems and Technologies (SST). IEEE, 2018. http://dx.doi.org/10.1109/sst.2018.8564559.
Full textAsif, Rameez, Kinan Ghanem, and James Irvine. "Containerization: For Over-the-Air Programming of Field Deployed Internet-of-Energy Based on Cost Effective LPWAN." In 2020 First International Conference of Smart Systems and Emerging Technologies (SMARTTECH). IEEE, 2020. http://dx.doi.org/10.1109/smart-tech49988.2020.00030.
Full textReports on the topic "Smarth energy"
Gitchell, John M., and Adam L. Palmer. Energy Smart Colorado, Final Report. Office of Scientific and Technical Information (OSTI), March 2014. http://dx.doi.org/10.2172/1126484.
Full textMui, Ming. Long Island Smart Energy Corridor. Office of Scientific and Technical Information (OSTI), February 2015. http://dx.doi.org/10.2172/1179181.
Full textBaldessari, Gianni, Oliver Bender, Domenico Branca, Luigi Crema, Anna Giorgi, Nina Janša, Janez Janša, Marie-Eve Reinert, and Jelena Vidović. Smart Altitude. Edited by Annemarie Polderman, Andreas Haller, Chiara Pellegrini, Diego Viesi, Xavier Tabin, Chiara Cervigni, Stefano Sala, et al. Verlag der Österreichischen Akademie der Wissenschaften, March 2021. http://dx.doi.org/10.1553/smart-altitude.
Full textPage, Janie, Chuck McParland, Mary Ann Piette, and Stephen Czarnecki. Design of an Open Smart Energy Gateway for Smart Meter Data Management. Office of Scientific and Technical Information (OSTI), March 2015. http://dx.doi.org/10.2172/1248928.
Full textHendron, Robert, Kristin Heinemeier, Alea German, and Joshua Pereira. Modeling Savings for ENERGY STAR Smart Home Energy Management Systems. Office of Scientific and Technical Information (OSTI), July 2021. http://dx.doi.org/10.2172/1807789.
Full textRankin, Linda. An Open Source Extensible Smart Energy Framework. Office of Scientific and Technical Information (OSTI), March 2017. http://dx.doi.org/10.2172/1347747.
Full textGourisetti, Sri Nikhil, Steven Widergren, Michael Mylrea, Peng Wang, Mark Borkum, Alysha Randall, and Bishnu Bhattarai. Blockchain Smart Contracts for Transactive Energy Systems. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1658378.
Full textGourisetti, Sri Nikhil, Steven Widergren, Michael Mylrea, Peng Wang, Mark Borkum, Alysha Randall, and Bishnu Bhattarai. Blockchain Smart Contracts for Transactive Energy Systems. Office of Scientific and Technical Information (OSTI), August 2019. http://dx.doi.org/10.2172/1658380.
Full textHollifield, Sam, Mingyan Li, and Michael Iannacone. Smart Packaging for Critical Energy Shipment (SPaCES). Office of Scientific and Technical Information (OSTI), January 2023. http://dx.doi.org/10.2172/1923175.
Full textSpeer, B., M. Miller, W. Schaffer, L. Gueran, A. Reuter, B. Jang, and K. Widegren. Role of Smart Grids in Integrating Renewable Energy. Office of Scientific and Technical Information (OSTI), May 2015. http://dx.doi.org/10.2172/1215177.
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