3 papers
q-fin.CP2026
A Market-Rule-Informed Neural Network for Efficient Imbalance Electricity Price Forecasting
Runyao Yu, Julia Lin, Derek W. Bunn +6
Accurate and efficient imbalance electricity price forecasting is critical for industrial energy trading systems, especially as battery assets and automated bidding pipelines incre…
cs.AI2026
Transferable Graph Learning for Transmission Congestion Management via Busbar Splitting
Ali Rajaei, Peter Palensky, Jochen L. Cremer
Network topology optimization (NTO) via busbar splitting can mitigate transmission grid congestion and reduce redispatch costs. However, solving this mixed-integer nonlinear proble…
cs.LG2026
Probabilistic Hysteresis Factor Prediction for Electric Vehicle Batteries with Graphite Anodes Containing Silicon
Runyao Yu, Viviana Kleine, Philipp Gromotka +5
Batteries with silicon-graphite-based anodes, which offer higher energy density and improved charging performance, introduce pronounced voltage hysteresis, making state-of-charge (…