Enhancing the interpretability of electricity consumption forecasting models for mining enterprises using SHapley Additive exPlanations

The objective of this study is to enhance user trust in electricity consumption forecasting systems for mining enterprises by applying explainable artificial intelligence methods that provide not only forecasts but also their justifications. The research object comprises a complex of mines and ore p...

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Główni autorzy:	Pavel V. Matrenin, Alina I. Stepanova
Format:	Artigo
Język:	Inglês
Wydane:	Saint-Petersburg Mining University 2025-02-01
Seria:	Записки Горного института
Hasła przedmiotowe:	electricity consumption forecasting mining enterprises wholesale electricity and power market explainable artificial intelligence ensemble models shapley vector
Dostęp online:	https://pmi.spmi.ru/pmi/article/view/16345?setLocale=en_US
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