Enhancing Reinforcement Learning-Based Energy Management Through Transfer Learning With Load and PV Forecasting

Effective energy management in microgrids with renewable energy sources is crucial for maintaining system stability while minimizing operational costs. However, traditional Reinforcement Learning (RL) controllers often encounter challenges, including long training time and instability during the tra...

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Egile Nagusiak:	Chang Xu, Masahiro Inuiguchi, Naoki Hayashi, Wong Jee Keen Raymond, Hazlie Mokhlis, Hazlee Azil Illias
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2025-01-01
Saila:	IEEE Access
Gaiak:	Deep reinforcement learning transfer learning short-term load forecasting PV forecasting model ResNet-BiLSTM
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/10916641/
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