Search Results for author:
Found 3 papers, 0 papers with code
Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning
Existing studies at the intersection of transactive energy and model-free control primarily focus on socioeconomic and self-consumption metrics, overlooking the crucial goal of reducing community-level net load variability.
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention
The proposed model is based on two seminal concepts that led to significant performance improvements of deep learning approaches in other sequence-related fields, but not yet in the area of time series prediction: the sequence to sequence architecture and attention mechanism as a context generator.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
