Bayesian forecasting of electricity prices in the German continuous intraday market incorporates parameter uncertainty for improved forecasting performance.
Building sector retrofits can mitigate ERCOT electricity shortfalls during Winter Storm Uri.
Proposing a new two-stage optimization framework, ANOCA, based on three-phase AC models to address current gaps in dynamic hosting capacity algorithms.
Electricity pricing policies may inadvertently increase CO2 intensity, challenging conventional wisdom.
Net energy from oil is crucial for all energy production and economic activities, with implications for future technological advancements and economic growth.
Enhancing blackout magnitude estimation using GNN models and statistical topology augmentation.
Understanding the dynamics of direct and indirect hydrogen storage is crucial for the transition to renewable energy systems in Europe.
Repurposing coal-fired power plants for firm-dispatchable energy is crucial for South Africa's energy transition.
Developing a benchmark for distributed control techniques in the European electricity network to address challenges with renewable energy sources and energy storage systems.
Efficiently generating training data sets for learning-based thermal power flow models significantly reduces computation times and improves model performance.