2022/10/24 by Yogesh Pipada Sunil Kumar, Kumar, Yogesh Pipada Sunil, Rui Yuan +5
Engineering · #Smart Grid Energy Management #Energy Load and Power Forecasting #Electric Power System Optimization
paper · pdf · doi:10.48550/arxiv.2210.12990
Energy usage optimal scheduling has attracted great attention in the power system community, where various methodologies have been proposed. However, in real-world applications, the optimal scheduling problems require reliable energy forecasting, which is scarcely discussed as a joint solution to the scheduling problem. The 5\textsuperscriptth IEEE Computational Intelligence Society (IEEE-CIS) competition raised a practical problem of decreasing the electricity bill by scheduling building activities, where forecasting the solar energy generation and building consumption is a necessity. To solve this problem, we propose a technical sequence for tackling the solar PV and demand forecast and optimal scheduling problems, where solar generation prediction methods and an optimal university lectures scheduling algorithm are proposed.