Weather sensitive short-term load forecasting using artificial neural networks for the LEYECO II distribution system
This paper presents the development of a short term load forecast (STFL) tool that forecasts up to one-week-ahead hourly loads. Historical temperature and humidity date were obtained from PAGASA. To keep the load forecasts timely, the forecasted temperature and humidity data were obtained from an on...
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| Format: | Thesis |
| Language: | English |
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2011.
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