Grid congestion, operational costs, and user satisfaction before and after optimization.

Grid congestion, operational costs, and user satisfaction before and after optimization.

<p>Grid congestion, operational costs, and user satisfaction before and after optimization.</p>

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Bibliographic Details
Main Author:	Qing Zhu (349093) (author)
Published:	2025
Subjects:	Medicine Science Policy Infectious Diseases Space Science Biological Sciences not elsewhere classified Physical Sciences not elsewhere classified reduced grid congestion minimized travel times lower operational costs improving forecasting accuracy improved user satisfaction combined system resulted power grid management balance electricity supply regional power trading power trading strategies presents significant challenges managing fluctuating demand power trading power grids reducing supply xlink "> term memory study proposes reinforcement learning rapid growth path optimization long short growing demand findings demonstrate ev users electric vehicles dijkstra algorithm demand imbalances deep q deep learning charging infrastructure 9 %. 4 %. 3 %. 10 %.
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