Warm-Start Meta-Ensembles for Forecasting Energy Consumption in Service Buildings

Autor:	André S. Pedro, Pedro J. S. Cardoso, Jânio Monteiro, João M. F. Rodrigues, Pedro M. M. Guerreiro
Rok vydání:	2021
Předmět:	Service (systems architecture) Operations research Computer science business.industry Energy management Electricity Energy consumption business Asset (computer security) Energy (signal processing) Renewable energy Power (physics)
Zdroj:	Computational Science – ICCS 2021 ISBN: 9783030779795 ICCS (6)
Popis:	Energy Management Systems are equipments that normally perform the individual supervision of power controllable loads. With the objective of reducing energy costs, those management decisions result from algorithms that select how the different working periods of equipment should be combined, taking into account the usage of the locally generated renewable energy, electricity tariffs etc., while complying with the restrictions imposed by users and electric circuits. Forecasting energy usage, as described in this paper, allows to optimize the management being a major asset.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::b5f59c97dea59974296b277f8a142532 https://doi.org/10.1007/978-3-030-77980-1_26 Zobrazit plný text záznamu