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

• URL: http://arxiv.org/abs/2210.12990v1
• Date: Mon, 24 Oct 2022 07:26:21 GMT
• Title: Optimal activity and battery scheduling algorithm using load and solar generation forecasts
• Authors: Yogesh Pipada Sunil Kumar, Rui Yuan, Nam Trong Dinh and S. Ali Pourmousavi
• Abstract summary: The 5textsuperscriptth IEEE Computational Intelligence Society (IEEE-CIS) competition raised a practical problem of decreasing the electricity bill by scheduling building activities. 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.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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