Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine

Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine

Forecasting the electricity load provides its future trends, consumption patterns and its usage. There is no proper strategy to monitor the energy consumption and generation; and high variation among them. Many strategies are used to overcome this problem. The correct selection of parameter values o...

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Bibliographic Details
Main Authors: Waqas Ahmad, Nasir Ayub, Tariq Ali, Muhammad Irfan, Muhammad Awais, Muhammad Shiraz, Adam Glowacz
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Energies
Subjects:
electricity load forecasting
smart grid
feature selection
Extreme Learning Machine
Genetic Algorithm
Support Vector Machine
Online Access:https://www.mdpi.com/1996-1073/13/11/2907

Internet

https://www.mdpi.com/1996-1073/13/11/2907

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