Explainable ai (xai)-based input variable selection methodology for forecasting energy consumption

HIGHLIGHTS

• who: Taeyong Sim and collaborators from the Department of Artificial Intelligence, Sejong University, Neungdong-ro, Gwangjin-gu, Seoul , have published the Article: eXplainable AI (XAI)-Based Input Variable Selection Methodology for Forecasting Energy Consumption, in the Journal: Electronics 2022, 2947 of 15/Dec/2020
• what: This research proposes a methodology for the of variables on (XAI) for energy consumption prediction.
• how: In this study these characteristics of XAI are applied to analyze the influence of input variables on energy consumption forecasting and through this select an optimal input variable.

SUMMARY

 



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