2 papers
cs.AI2026
Day-Ahead Electricity Price Forecasting for Volatile Markets Using Foundation Models with Regularization Strategy
Kritchanat Ponyuenyong, Pengyu Tu, Jia Wei Tan +3
Electricity price forecasting (EPF) is essential for energy markets stakeholders (e.g. grid operators, energy traders, policymakers) but remains challenging due to the inherent vol…
cs.LG2026
Assessing Electricity Demand Forecasting with Exogenous Data in Time Series Foundation Models
Wei Soon Cheong, Lian Lian Jiang, Jamie Ng Suat Ling
Time-series foundation models have emerged as a new paradigm for forecasting, yet their ability to effectively leverage exogenous features -- critical for electricity demand foreca…