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pro vyhledávání: '"Pol de Visser"'
Autor:
Megan Meezen, Tadeo Baldiri Salcedo Rahola, Víctor García Romillo, Brian de Keijzer, Daan Boesten, Víctor Gómez Muñoz, Pol de Visser
Publikováno v:
E3S Web of Conferences, Vol 111, p 05019 (2019)
Machine learning models have proven to be reliable methods in the forecasting of energy use in commercial and office buildings. However, little research has been done on energy forecasting in dwellings, mainly due to the difficulty of obtaining house
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::67383aef8f85e59c43a0e7b0fcdad449
https://doi.org/10.1051/e3sconf/201911105019
https://doi.org/10.1051/e3sconf/201911105019
