Day ahead of electricity price forecasting using least square support vector machine (LSSVM) with genetic algorithm (GA)

Day ahead of electricity price forecasting using least square support vector machine (LSSVM) with genetic algorithm (GA)

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Bibliographic Details
Main Author: Muhammad Naeim Mat Nasir (Author)
Corporate Author: Universiti Teknikal Malaysia Melaka. Faculty of Electrical Engineering (institution)
Format: Thesis Book
Language:English
Published: 2017
Subjects:
Electric power consumption > Forecasting > Statistical methods.
Genetic algorithms.
Electric utilities > Rates > Forecasting > Statistical methods.
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Description
Physical Description:xiv, 44 pages some colour illustrations, charts, photographs 30 cm
Bibliography:Reference : pages 36-39.

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