Demand response in blocks of buildings: opportunities and requirements
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DOI: 10.9770/jesi.2017.4.3S(3)
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References listed on IDEAS
- Patteeuw, Dieter & Bruninx, Kenneth & Arteconi, Alessia & Delarue, Erik & D’haeseleer, William & Helsen, Lieve, 2015. "Integrated modeling of active demand response with electric heating systems coupled to thermal energy storage systems," Applied Energy, Elsevier, vol. 151(C), pages 306-319.
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- Short, Michael & Crosbie, Tracey & Dawood, Muneeb & Dawood, Nashwan, 2017. "Load forecasting and dispatch optimisation for decentralised co-generation plant with dual energy storage," Applied Energy, Elsevier, vol. 186(P3), pages 304-320.
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Cited by:
- Sylvia Breukers & Tracey Crosbie & Luc van Summeren, 2020. "Mind the gap when implementing technologies intended to reduce or shift energy consumption in blocks-of-buildings," Energy & Environment, , vol. 31(4), pages 613-633, June.
- Sean Williams & Michael Short & Tracey Crosbie & Maryam Shadman-Pajouh, 2020. "A Decentralized Informatics, Optimization, and Control Framework for Evolving Demand Response Services," Energies, MDPI, vol. 13(16), pages 1-30, August.
- Michael Short & Sergio Rodriguez & Richard Charlesworth & Tracey Crosbie & Nashwan Dawood, 2019. "Optimal Dispatch of Aggregated HVAC Units for Demand Response: An Industry 4.0 Approach," Energies, MDPI, vol. 12(22), pages 1-20, November.
- Dana Abi Ghanem & Tracey Crosbie, 2021. "The Transition to Clean Energy: Are People Living in Island Communities Ready for Smart Grids and Demand Response?," Energies, MDPI, vol. 14(19), pages 1-26, September.
- Akinkunmi Adegbenro & Michael Short & Claudio Angione, 2021. "An Integrated Approach to Adaptive Control and Supervisory Optimisation of HVAC Control Systems for Demand Response Applications," Energies, MDPI, vol. 14(8), pages 1-18, April.
- Nikos Kampelis & Elisavet Tsekeri & Dionysia Kolokotsa & Kostas Kalaitzakis & Daniela Isidori & Cristina Cristalli, 2018. "Development of Demand Response Energy Management Optimization at Building and District Levels Using Genetic Algorithm and Artificial Neural Network Modelling Power Predictions," Energies, MDPI, vol. 11(11), pages 1-22, November.
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Keywords
; ; ; ; ;JEL classification:
- P18 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Energy; Environment
- L94 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Electric Utilities
- L90 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - General
- L98 - Industrial Organization - - Industry Studies: Transportation and Utilities - - - Government Policy
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