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Wind Energy Forecasting - By Using Artificial Neural Network - Genetic Algorithm

Name: Wind Energy Forecasting - By Using Artificial Neural Network - Genetic Algorithm
Brand: VDM Verlag
SKU: 9783639112979
Price: 274.76 RON
Availability: InStock

Autor: Mohan Kolhe

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Legare: Carte broșată

Editura: VDM Verlag

Disponibilitate: În depozitul extern

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274.76 lei

As wind is an intermittent generation resource and§weather changes can cause large and rapid changes...

Informații despre carte

Autor

Mohan Kolhe

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2009

Pagini

EAN

9783639112979

ISBN

3639112970

Enbook ID

06820185

Editura

VDM Verlag

Greutate

106

Dimensiuni

153 x 220 x 4

Descriere completă

As wind is an intermittent generation resource and§weather changes can cause large and rapid changes in§output, system operators will need accurate and§robust wind energy forecasting systems in the future.§Rapid changes of wind generation relative to load§require rapid dispatching of generation and§transmission resources to balance generation versus§load, regulate voltage and frequency, and maintain§system performance within the limits established by§National Grid. Wind energy forecasts can help the§energy network operator to anticipate rapid changes§of wind energy generation versus load and to make the§decisions. The study has been done for ANN and also§with the combination of ANN and GA for short term§wind power forecasting of wind power plants. The§performance of these developed forecasting models§have been tested and analyzed with wind power data§available from the operational records of wind power§plants. The results show that the combination of ANN§and GA model does wind power output forecasting very§well except during the gust. This forecasting model§can also be implemented in different time-scales,§which will help wind energy trading in the open§electricity markets.