Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Paulo Lissa"'
Publikováno v:
Energy and AI, Vol 3, Iss , Pp 100043- (2021)
The use of machine learning techniques has been proven to be a viable solution for smart home energy management. These techniques autonomously control heating and domestic hot water systems, which are the most relevant loads in a dwelling, helping co
Externí odkaz:
https://doaj.org/article/23c00e6ff6954a5da2f644c05467f261
Publikováno v:
Industrial Demand Response: Methods, Best practices, Case Studies, and Applications
Industrial Demand Response: Methods, best practices, case studies, and applications
Industrial Demand Response: Methods, best practices, case studies, and applications ISBN: 9781839535611
Industrial Demand Response: Methods, best practices, case studies, and applications
Industrial Demand Response: Methods, best practices, case studies, and applications ISBN: 9781839535611
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e43c4b5313e9ba04286acf3c75a6b82
Publikováno v:
SN Computer Science. 1
Modern control solutions for HVAC have demonstrated excellent cost and energy savings through the utilisation of machine learning techniques. However, a challenging problem faced by most machine learning tasks is the amount of time and data required
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9bb7308092e5dfa487bc6af6b0afb72
https://doi.org/10.1007/s42979-020-00146-7
https://doi.org/10.1007/s42979-020-00146-7
Publikováno v:
Smart Energy
Domestic hot water accounts for approximately 15% of the total residential energy consumption in Europe, and most of this usage happens during specific periods of the day, resulting in undesirable peak loads. The increase in energy production from re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::447977fe1414576f31bf3796b9cece56