The renewable hydrogen economy is recognized as an integral solution for decarbonizing
energy sectors. However, high costs have hindered widespread deployment. One promising …

Accurate power curve modeling is essential to continuously evaluate the performance of a
wind turbine (WT). In this work, we characterize the wind power curves using SCADA data …

Energy scheduling strategies are crucial for achieving efficient and stable operation of
renewable energy systems. However, the integrated energy supply system based on …

We propose a method, a model, and a form of presenting model results for condition
monitoring of a small set of wind turbines with rare failures. The main new ingredient of the …

Renewable energy sources are essential to address climate change, fossil fuel depletion,
and stringent environmental regulations in the subsequent decades. Horizontal-axis wind …

Anomaly detection in wind turbines typically involves using normal behaviour models to
detect faults early. Normal behaviour models are often implemented through the use of …

Machine learning has revolutionized science, from folding proteins and predicting tornadoes
to studying human nature. While science has always had an intimate relationship with …

This paper studies the renewable power forecasting task with a more advanced formulation,
the probabilistic forecasts of day-ahead power generation sequences of multiple renewable …

Wind-based power generation, which is a safe and clean energy resource, has a
widespread implementation around the world to reduce the environmental pollution …

In recent years, Explainable AI (XAI) methods have facilitated profound validation and
knowledge extraction from ML models. While extensively studied for classification, few XAI …