Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM

Nodal Carbon Emission Factor Prediction for Power Systems Based on MDBO-CNN-LSTM

Carbon emission estimation for power systems is essential for identifying emission responsibilities and formulating effective mitigation measures. Current carbon emission prediction methods for power systems exhibit limited computational efficiency and inadequate noise immunity under complex operati...

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Bibliographic Details
Main Authors: Lihua Zhong, Feng Pan, Yuyao Yang, Lei Feng, Haiming Shao, Jiafu Wang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Energies
Subjects:
power system
carbon emission factor prediction
modified dung beetle optimization
convolutional neural network
long short-term memory network
Online Access:https://www.mdpi.com/1996-1073/18/13/3491
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https://www.mdpi.com/1996-1073/18/13/3491

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