A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Study integrates reliability constraints into generation planning models.
Study finds cherry-picking load shaping strategies outperforms others in reducing grid CO2 emissions.
Transformer model forecasts electricity price spread for virtual bidding.
Develops a method for probabilistic simulation of renewable energy production at grid scale.
Electricity is bought and sold in wholesale markets at prices that fluctuate significantly. Short-term forecasting of electricity prices is an important endeavor because it helps electric utilities control risk and because it influences competitive strategy for generators. As the "smart grid" grows, short-term price fo…
Paper uses econometrics time series model with T-student Distribution for short-term load forecasting.
Bayesian Transformer improves probabilistic load forecasting with calibrated uncertainty estimates.