Our paper “Automatically Improved VCG Mechanism for Local Energy Market via Deep Learning” has been accepted. This paper proposes a deep learning-based automatic mechanism design method to improve VCG for tackling the budget-balanced two-sided local energy market, as a way to avoid tedious manual adjustments.
Paper on Using Deep Learning and Improved VCG for Local Energy Market is accepted by IEEE Trans. Smart Grid.
