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Journal article
Probabilistic load forecasting considering temporal correlation: Online models for the prediction of households’ electrical load 10.1016/j.apenergy.2021.117594
Applied Energy — 2021, Volume 303, pp. 117594
Home Energy Management Systems (HEMSs) are expected to become an inevitable part of the future smart grid technologies. To work effectively, HEMSs require reliable and accurate load forecasts. In this paper, two new modelling methods are presented. They are both suited for producing multivariate
Year: 2021
Language: English
