Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

Recent years have seen an increasing interest in Demand Response (DR) as a means to provide flexibility, and hence improve the reliability of energy systems in a cost-effective way. Yet, the high complexity of the tasks associated with DR, combined with their use of large-scale data and the frequent...

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Bibliographic Details
Main Authors: Antonopoulos, Ioannis (Author), Robu, Valentin (Contributor), Couraud, Benoit (Author), Kirli, Desen (Author), Norbu, Sonam (Author), Kiprakis, Aristides (Author), Flynn, David (Author), Elizondo-Gonzalez, Sergio (Author), Wattam, Steve (Author)
Other Authors: Massachusetts Institute of Technology. Center for Collective Intelligence (Contributor), Sloan School of Management (Contributor)
Format: Article
Language:English
Published: Elsevier BV, 2021-03-30T16:15:00Z.
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