Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Marco Savino Piscitelli"'
Publikováno v:
Energies, Vol 16, Iss 2, p 854 (2023)
The main goal of Fault Detection and Diagnosis (FDD) processes is to identify faults, determine their sources, and recognize solutions before the system is further harmed or service is lost [...]
Externí odkaz:
https://doaj.org/article/5a6fcf6f28764ff0affb2a65aa459d43
Publikováno v:
Energies, Vol 14, Iss 10, p 2933 (2021)
Demand Response (DR) programs represent an effective way to optimally manage building energy demand while increasing Renewable Energy Sources (RES) integration and grid reliability, helping the decarbonization of the electricity sector. To fully expl
Externí odkaz:
https://doaj.org/article/f08798eb0b734f5895d6d2f9e961c2b3
Publikováno v:
Energies, Vol 14, Iss 4, p 997 (2021)
Recently, a growing interest has been observed in HVAC control systems based on Artificial Intelligence, to improve comfort conditions while avoiding unnecessary energy consumption. In this work, a model-free algorithm belonging to the Deep Reinforce
Externí odkaz:
https://doaj.org/article/cf30d5011cd5421587971af08e086a2c
Publikováno v:
Energies, Vol 14, Iss 1, p 237 (2021)
Recently, the spread of smart metering infrastructures has enabled the easier collection of building-related data. It has been proven that a proper analysis of such data can bring significant benefits for the characterization of building performance
Externí odkaz:
https://doaj.org/article/d1efd446be694defb1538c38fac36627
Autor:
Antonio Attanasio, Marco Savino Piscitelli, Silvia Chiusano, Alfonso Capozzoli, Tania Cerquitelli
Publikováno v:
Energies, Vol 12, Iss 7, p 1273 (2019)
Energy performance certification is an important tool for the assessment and improvement of energy efficiency in buildings. In this context, estimating building energy demand also in a quick and reliable way, for different combinations of building fe
Externí odkaz:
https://doaj.org/article/7cbc3ffe59324562a56196742b76b40c
Publikováno v:
Sustainability in Energy and Buildings 2022 ISBN: 9789811987687
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70f6e5ee3439171e706ce1eb85ce6ba8
https://hdl.handle.net/11583/2976622
https://hdl.handle.net/11583/2976622
The main goal of Fault Detection and Diagnosis (FDD) processes is to identify faults, determine their sources, and recognize solutions before the system is further harmed or service is lost [...]
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::709e61a95025fda69657a6b9090b1f56
https://hdl.handle.net/11583/2975568
https://hdl.handle.net/11583/2975568
Autor:
Zhelun Chen, Zheng O’Neill, Jin Wen, Ojas Pradhan, Tao Yang, Xing Lu, Guanjing Lin, Shohei Miyata, Seungjae Lee, Chou Shen, Roberto Chiosa, Marco Savino Piscitelli, Alfonso Capozzoli, Franz Hengel, Alexander Kührer, Marco Pritoni, Wei Liu, John Clauß, Yimin Chen, Terry Herr
Publikováno v:
Applied Energy. 339:121030
Artificial intelligence (AI) is fast becoming a general purpose technology with outstanding impacts in industries worldwide, thus supporting the Industry 4.0 revolution. In particular, the energy sector is one of those that has taken more advantages
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c2ba8b2e97cbcee0886a12a02dea12f
https://hdl.handle.net/11588/902194
https://hdl.handle.net/11588/902194