Short-term electric load forecasting is an important requirement for electric system operation. This paper employs a feed-forward neural network with a back-propagation algorithm for three types of short-term electric load forecasting: daily peak (valley) load, hourly load and the total load. The fo
β¦ LIBER β¦
Four methods for short-term load forecasting using the benefits of artificial intelligence
β Scribed by I. Erkmen; A. K. Topalli
- Publisher
- Springer
- Year
- 2003
- Tongue
- English
- Weight
- 255 KB
- Volume
- 85
- Category
- Article
- ISSN
- 1432-0487
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