Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data

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@article{ded86b105afc4b219c674560e67604dd,

title = "Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data",

author = "Oleg Valgaev and Friederich Kupzog and Hartmut Schmeck",

year = "2020",

doi = "10.1186/s42162-020-00132-6",

language = "English",

journal = "Energy Informatics 2020",

issn = "2520-8942",

publisher = "SpringerOpen",

}

TY - JOUR

T1 - Adequacy of neural networks for wide-scale day-ahead load forecasts on buildings and distribution systems using smart meter data

AU - Valgaev, Oleg

AU - Kupzog, Friederich

AU - Schmeck, Hartmut

PY - 2020

Y1 - 2020

U2 - 10.1186/s42162-020-00132-6

DO - 10.1186/s42162-020-00132-6

M3 - Article

SN - 2520-8942

JO - Energy Informatics 2020

JF - Energy Informatics 2020

ER -