Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Benedetto Grillone"'
Autor:
Florencia Lazzari, Gerard Mor, Jordi Cipriano, Eloi Gabaldon, Benedetto Grillone, Daniel Chemisana, Francesc Solsona
Publikováno v:
Energy Reports, Vol 8, Iss , Pp 3680-3691 (2022)
This paper presents a novel approach to forecast day-ahead electricity consumption for residential households where highly irregular human behaviour plays a significant role. The methodology requires data from fiscal smart meters, which makes it appl
Externí odkaz:
https://doaj.org/article/a145fee2924443ad8f435fb6a1bc94a7
Autor:
Gerard Mor, Jordi Cipriano, Giacomo Martirano, Francesco Pignatelli, Chiara Lodi, Florencia Lazzari, Benedetto Grillone, Daniel Chemisana
Publikováno v:
Energy Reports, Vol 7, Iss , Pp 5667-5684 (2021)
A bottom-up electricity characterisation methodology of the building stock at the local level is presented. It is based on the statistical learning analysis of aggregated energy consumption data, weather data, cadastre, and socioeconomic information.
Externí odkaz:
https://doaj.org/article/70d7ff0d26ce47269a32fe45dde904cb
Publikováno v:
Energies, Vol 14, Iss 17, p 5430 (2021)
Thermostatic load control systems are widespread in many countries. Since they provide heat for domestic hot water and space heating on a massive scale in the residential sector, the assessment of their energy performance and the effect of different
Externí odkaz:
https://doaj.org/article/0783f687b9aa4393a994cd07a8316a35
Autor:
Benedetto Grillone, Gerard Mor, Stoyan Danov, Jordi Cipriano, Florencia Lazzari, Andreas Sumper
Publikováno v:
Energies, Vol 14, Iss 17, p 5556 (2021)
Interpretable and scalable data-driven methodologies providing high granularity baseline predictions of energy use in buildings are essential for the accurate measurement and verification of energy renovation projects and have the potential of unlock
Externí odkaz:
https://doaj.org/article/b76e64673b214e4a9a7051e9c13bc020
Autor:
Francesco Pignatelli, Benedetto Grillone, Florencia Lazzari, Daniel Chemisana, Jordi Cipriano, Giacomo Martirano, Chiara Lodi, Gerard Mor Martinez
Publikováno v:
Energy Reports, Vol 7, Iss, Pp 5667-5684 (2021)
Repositorio Abierto de la UdL
Universitad de Lleida
Repositorio Abierto de la UdL
Universitad de Lleida
A bottom-up electricity characterisation methodology of the building stock at the local level is presented. It is based on the statistical learning analysis of aggregated energy consumption data, weather data, cadastre, and socioeconomic information.
Publikováno v:
Repositorio Abierto de la UdL
Universitad de Lleida
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Applied Energy
Universitad de Lleida
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Applied Energy
Methods to obtain accurate estimations of the savings generated by building energy efficiency interventions are a topic of great importance, and considered to be one of the keys to increase capital investments in energy conservation strategies worldw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8477ab844aa169ec78353d465a81a8e8
https://www.scipedia.com/public/Grillone_et_al_2021a
https://www.scipedia.com/public/Grillone_et_al_2021a
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Increasing the energy efficiency of the built environment has become a priority worldwide and especially in Europe. Because of the relatively low turnover rate of the existing built environment, energy efficiency retrofitting appears to be a fundamen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::72ccce7c31b7bf90e76442e91037f9b7
https://www.scipedia.com/public/Grillone_et_al_2020a
https://www.scipedia.com/public/Grillone_et_al_2020a
Autor:
Gerard Mor, Jordi Cipriano, Stoyan Danov, Florencia Lazzari, Benedetto Grillone, Andreas Sumper
Publikováno v:
Repositorio Abierto de la UdL
Universitad de Lleida
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Energies, Vol 14, Iss 5556, p 5556 (2021)
Energies; Volume 14; Issue 17; Pages: 5556
Universitad de Lleida
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Energies, Vol 14, Iss 5556, p 5556 (2021)
Energies; Volume 14; Issue 17; Pages: 5556
Interpretable and scalable data-driven methodologies providing high granularity baseline predictions of energy use in buildings are essential for the accurate measurement and verification of energy renovation projects and have the potential of unlock
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c49632656f66a926b4ceaab36c937c57
https://doi.org/10.3390/en14175556
https://doi.org/10.3390/en14175556
Autor:
Jordi Cipriano, Ursula Eicker, Marcus Brennenstuhl, Dirk Pietruschka, Ramanunni Parakkal Menon, Gerard Mor, Ruben Baumer, Benedetto Grillone, Frederic Amblard, Jessen Page
Publikováno v:
Energy and Buildings. 253:111484
To date, the assessment of the energy flexibility to be delivered by existing buildings and by their legacy HVAC systems is hindered by a lack of commonly agreed-upon methodologies. There are many research works in the field; however, many of them ar
Autor:
MAYOS, Josep
The Data and Ethics management of the ePLANET project covers the key ethical issues concerning research activity as identified and established by the European Commission, as well as at National and International relevant legislations. The document fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cfb110c10334ae70febc6270b31bbaa