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arXiv · 2210.12990

Optimal activity and battery scheduling algorithm using load and solar generation forecasts

Yogesh Pipada Sunil Kumar·Rui Yuan·Nam Trong Dinh·S. Ali Pourmousavi
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Abstract

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\textsuperscript{th} 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.

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Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh, S. Ali Pourmousavi. 2022-10-24. Optimal activity and battery scheduling algorithm using load and solar generation forecasts. https://arxiv.org/abs/2210.12990

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