Energy management of domestic hot water systems with model predictive control and demand forecast based on machine learning

While domestic hot water (DHW) production represents approximately 17% of the energy consumption of the Canadian residential sector, studies aiming to reduce this proportion are scarce. Model predictive control (MPC) can improve the performance of DHW systems by relying on demand forecasting models...

Descrizione completa

Dettagli Bibliografici

Autori principali:	Louis-Gabriel Maltais, Louis Gosselin
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Elsevier 2022-08-01
Serie:	Energy Conversion and Management: X
Soggetti:	Model predictive control Forecasting accuracy Domestic hot water Optimal control Neural networks
Accesso online:	http://www.sciencedirect.com/science/article/pii/S2590174522000770
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!