Overview
Develops a recurrent architecture based on Kolmogorov-Arnold representations for forecasting heterogeneous consumer loads.
Research context
This work contributes to Time Series & Energy. The publication record above is the authoritative source for its current status; accepted papers will be updated when final bibliographic metadata becomes public.
BibTeX
@article{KolmogorovArnoldRecurrentNetwork2025,
title = {Kolmogorov-Arnold Recurrent Network for Short-Term Load Forecasting Across Diverse Consumers},
author = {M. U. Danish, K. Grolinger},
year = {2025},
journal = {Energy Reports},
doi = {10.1016/j.egyr.2024.12.038}
}