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Xenochristou, Maria (author), Hutton, Chris (author), Hofman, Jan (author), Kapelan, Z. (author)
This study utilizes a rich UK data set of smart demand metering data, household characteristics, and weather data to develop a demand forecasting methodology that combines the high accuracy of machine learning models with the interpretability of statistical methods. For this reason, a random forest model is used to predict daily demands 1 day...
journal article 2021