Energy Transition

The energy transition, aiming to shift from fossil fuels to renewable sources, is a complex undertaking requiring innovative solutions across multiple sectors. Current research focuses on improving the accuracy and efficiency of renewable energy forecasting using advanced machine learning techniques, such as quantum neural networks and LSTM models, and on developing more robust and interpretable energy system models to guide policy decisions. This research is crucial for optimizing grid stability, enhancing the integration of renewables, and mitigating the economic and societal impacts of this global shift, informing both energy policy and investment strategies.