Performance analysis and comparison of various techniques for short-term load forecasting

Performance analysis and comparison of various techniques for short-term load forecasting

Rapidly varying load demand is one of the greatest problems that distribution system operators are now experiencing. Many researchers have been implemented the load demand requirement using traditional methods and machine learning methods. Both the methods have their own pros and cons according to d...

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Bibliographic Details
Main Authors: Kamini Shahare, Arghya Mitra, Dipanshu Naware, Ritesh Keshri, H.M. Suryawanshi
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Energy Reports
Subjects:
Short term load forecasting
IEEE dataport
Machine learning
CNN-LSTM hybrid model
Online Access:http://www.sciencedirect.com/science/article/pii/S2352484722024726

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http://www.sciencedirect.com/science/article/pii/S2352484722024726

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