Improving Net Energy Metering (NEM) Actual Load Prediction Accuracy using an Adaptive Learning Rate LSTM Model for Residential Use Case

As an effort to promote renewable energy-based power generation, one of Malaysia's initiatives is the net-energy metering (NEM) scheme. One of the shortcomings of residential Photovoltaic (PV) systems under the NEM scheme is that it operates with smart meters only whereby the actual load profil...

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主要な著者: Kunalan D., Krishnan P.S., Ramasamy A.K., Permal N.
その他の著者: 56395450700
フォーマット: Conference Paper
出版事項: EDP Sciences 2024
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