Very Short Term Load Forecasting Based On Meteorological With Modelling k-NN-Feed Forward Neural Network
This paper proposes a novel methodology for very short term load forecasting of hourly. The proposed methodology is based on meteorology data i.e. temperature, humidity, especially for optimizing the operation of power generating electricity from thermal unit generation. This modelling methodology...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
ESRGroups
2019-03-01
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| Series: | Journal of Electrical Systems |
| Subjects: | |
| Online Access: | http://journal.esrgroups.org/jes/papers/15_1_1.pdf |