Analyzing the impact of electricity price forecasting on energy cost-aware scheduling
We assess how various price forecast properties affect energy aware scheduling cost. We introduce a forecasting model, co-optimizing standard and non-standard metrics. We show that incorporating the Spearman Rank correlation can improve performance. We show that the proposed forecast leads to significant cost savings.
cost-aware-scheduling energy-price-forecasting smartgrid energy efficiency