Nov 7, 2023 · An explainable machine-learning framework is proposed to optimize the reactive power in distribution networks.

Reactive power optimization (RPO) plays a critical role in reducing power losses and maintaining voltage in distribution networks by adjusting the operational ...

An explainable machine-learning framework is proposed to optimize the reactive power in distribution networks and can accurately explain the solution of the ...

To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.

To reduce the heavy computational burden of reactive power optimization of distribution networks, machine learning models are receiving increasing attention.

Fruit fly Optimization with Deep Learning Based Reactive Power Optimization Model for Distributed Systems · An Explainable Framework for Machine learning-Based ...

This study presents a new methodology to analyze and elucidate reinforcement learning-based decisions in distribution network reconfiguration.

Oct 22, 2022 · To this end, we propose to use artificial neural network (ANN) to predict optimal reactive power dispatch in PV systems by learning approximate ...

Power system analysis · Reinforcement learning

Wu, “A linear branch flow model for radial distribution networks and its application to reactive power optimization and network reconfiguration,” IEEE ...