Title: Optimal Scheduling of Electrolyzer in Power Market with Dynamic Prices,
Abstract: Optimal scheduling of hydrogen production in dynamic pricing power market can
maximize the profit of hydrogen producer; however, it highly depends on the
accurate forecast of hydrogen consumption. In this paper, we propose a deep
leaning based forecasting approach for predicting hydrogen consumption of fuel
cell vehicles in future taxi industry. The cost of hydrogen production is
minimized by utilizing the proposed forecasting tool to reduce the hydrogen
produced during high cost on-peak hours and guide hydrogen producer to store
sufficient hydrogen during low cost off-peak hours.