Artificial Neural Network Base Short-Term Electricity Load Forecasting: A Case Study of a 132/33kv Transmission Sub-Station
<p>Forecasting of electrical load is extremely important for the effective and efficient operation of any power system. Good forecasts results help in minimizing the risk in decision making and reduces the costs of operating the power plant. This work focuses on the short-term load forecast of...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EconJournals
2020-01-01
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| Series: | International Journal of Energy Economics and Policy |
| Online Access: | https://www.econjournals.com/index.php/ijeep/article/view/8629 |