Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Spiros Chadoulos"'
Publikováno v:
IEEE Access, Vol 8, Pp 219632-219655 (2020)
Consumers lie at the epicenter of smart grids, since their activities account for a large portion of the total energy demand. Therefore, utility companies, governmental agencies, and various other entities with environmental concerns aim at lowering
Externí odkaz:
https://doaj.org/article/e4fb9f324f384580a481aa7aefba14e9
Autor:
Nikos Fotiou, Iakovos Pittaras, Spiros Chadoulos, Vasilios A. Siris, George C. Polyzos, Nikolaos Ipiotis, Stratos Keranidis
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031254666
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af3489f1af702e7addda822597ae1db8
https://doi.org/10.1007/978-3-031-25467-3_6
https://doi.org/10.1007/978-3-031-25467-3_6
Publikováno v:
e-Energy
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
Proceedings of the Twelfth ACM International Conference on Future Energy Systems
Energy demand forecasting at the household level is an important issue in smart energy grids to facilitate applications such as residential Demand Response (DR). However, if a separate machine learning model is trained for each house, the erratic nat
Publikováno v:
ICC
In this paper, we propose an online learning approach, utilizing the framework of Online Convex Optimization (OCO) to tackle the problem of learning the optimal energy supply plan, in terms of total incurred cost, from the perspective of an electrici
Publikováno v:
IEEE Access, Vol 8, Pp 219632-219655 (2020)
IEEE Access
IEEE Access
Consumers lie at the epicenter of smart grids, since their activities account for a large portion of the total energy demand. Therefore, utility companies, governmental agencies, and various other entities with environmental concerns aim at lowering