Short-Term Load Forecasting Based on CNN-BiLSTM with Bayesian Optimization and Attention Mechanism
Short-term power load forecasting is quite vital in maintaining the balance between power production and power consumption of the power grid. Prediction accuracy not only affects the power grid construction, but also influences the economic development of the power grid. This paper proposes a short-...
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Published in | Parallel and Distributed Computing, Applications and Technologies Vol. 12606; pp. 116 - 128 |
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Main Authors | , , |
Format | Book Chapter |
Language | English |
Published |
Switzerland
Springer International Publishing AG
2021
Springer International Publishing |
Series | Lecture Notes in Computer Science |
Subjects | |
Online Access | Get full text |
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