Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume

Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume

Abstract The energy transition to a cleaner environment has been a concern for many researchers and policy makers, as well as communities and non-governmental organizations. The effects of climate change are evident, temperatures everywhere in the world are getting higher and violent weather phenome...

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Bibliographic Details
Main Authors: Adela Bâra, Simona-Vasilica Oprea
Format: Article
Language:English
Published: Springer 2024-04-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Energy transition
AI applications
Imbalance volume
Machine learning
Balancing market
LSTM
Online Access:https://doi.org/10.1007/s44196-024-00464-1

Internet

https://doi.org/10.1007/s44196-024-00464-1

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