Energy

Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices in Germany

Bayesian forecasting of electricity prices in the German continuous intraday market incorporates parameter uncertainty for improved forecasting performance.

ERCOT Winter Storm Uri Electricity Shortfalls Mitigation Analysis

Building sector retrofits can mitigate ERCOT electricity shortfalls during Winter Storm Uri.

ANOCA: AC Network-aware Optimal Curtailment Approach for Dynamic Hosting Capacity

Proposing a new two-stage optimization framework, ANOCA, based on three-phase AC models to address current gaps in dynamic hosting capacity algorithms.

Causal Analysis of CO2 Reduction Strategies in Electricity Markets

Electricity pricing policies may inadvertently increase CO2 intensity, challenging conventional wisdom.

The Reality of Growing Energy Demand: Alligators and Oil Extraction

Net energy from oil is crucial for all energy production and economic activities, with implications for future technological advancements and economic growth.

Predicting Cascading Blackout Severity with Graph Neural Networks

Enhancing blackout magnitude estimation using GNN models and statistical topology augmentation.

Direct and Indirect Hydrogen Storage Dynamics in the Transition to Renewable Energy Systems for Europe

Understanding the dynamics of direct and indirect hydrogen storage is crucial for the transition to renewable energy systems in Europe.

Implementation of Firm-Dispatchable Generation in South Africa

Repurposing coal-fired power plants for firm-dispatchable energy is crucial for South Africa's energy transition.

A Benchmark for Distributed Control Techniques in European Electricity Network

Developing a benchmark for distributed control techniques in the European electricity network to address challenges with renewable energy sources and energy storage systems.

Efficient Training of Learning-Based Thermal Power Flow for 4th Generation District Heating Grids

Efficiently generating training data sets for learning-based thermal power flow models significantly reduces computation times and improves model performance.

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