Very Short-Term Load Forecaster Based on a Neural Network Technique for Smart Grid Control
Electrical load forecasting plays a crucial role in the proper scheduling and operation of power systems. To ensure the stability of the electrical network, it is necessary to balance energy generation and demand. Hence, different very short-term load forecast technologies are being designed to impr...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-10-01
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Series: | Energies |
Subjects: | |
Online Access: | https://www.mdpi.com/1996-1073/13/19/5210 |