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1 Ergebnisse
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A low-complexity non-intrusive approach to predict the ener..:
Athanasios Aris Panagopoulos
;
Filippos Christianos
;
Michail Katsigiannis
...
2134/16930843.v1. , 2020
Link:
https://figshare.com/articles/journal_contribution/A_l..
RT Journal T1
A low-complexity non-intrusive approach to predict the energy demand of buildings over short-term horizons
UL https://suche.suub.uni-bremen.de/peid=base-ftloughboroughun:oai:figshare.com:article_16930843&Exemplar=1&LAN=DE A1 Athanasios Aris Panagopoulos A1 Filippos Christianos A1 Michail Katsigiannis A1 Konstantinos Mykoniatis A1 Marco Pritoni A1 Orestis P. Panagopoulos A1 Therese Peffer A1 Georgios Chalkiadakis A1 David E. Culler A1 Nick Jennings A1 Timothy Lipman YR 2020 K1 Uncategorized K1 energy demand K1 energy consumption K1 forecasting K1 smart buildings JF 2134/16930843.v1 LK http://dx.doi.org/https://figshare.com/articles/journal_contribution/A_low-complexity_non-intrusive_approach_to_predict_the_energy_demand_of_buildings_over_short-term_horizons/16930843 DO https://figshare.com/articles/journal_contribution/A_low-complexity_non-intrusive_approach_to_predict_the_energy_demand_of_buildings_over_short-term_horizons/16930843 SF ELIB - SuUB Bremen
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