Explainable Approaches for Forecasting Building Electricity Consumption

Explainable Approaches for Forecasting Building Electricity Consumption

Building electric energy is characterized by a significant increase in its uses (e.g., vehicle charging), a rapidly declining cost of all related data collection, and a proliferation of smart grid concepts, including diverse and flexible electricity pricing schemes. Not surprisingly, an increased nu...

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Bibliographic Details
Main Authors: Nikos Sakkas, Sofia Yfanti, Pooja Shah, Nikitas Sakkas, Christina Chaniotakis, Costas Daskalakis, Eduard Barbu, Marharyta Domnich
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Energies
Subjects:
electricity demand forecasting
model explainability
SHAP values
neural networks
structured time series
genetic programming (GP)
Online Access:https://www.mdpi.com/1996-1073/16/20/7210

Internet

https://www.mdpi.com/1996-1073/16/20/7210

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