Amanote Research
Register
Sign In
Forecasting of Electricity Load Based on Improved Particle Swarm Optimization and Support Vector Regression Machine
doi 10.2991/tmcm-15.2015.32
Full Text
Open PDF
Abstract
Available in
full text
Date
January 1, 2015
Authors
Limei Liu
Publisher
Atlantis Press
Related search
A Particle Swarm Optimised Support Vector Regression for Short-Term Load Forecasting
International Journal of Energy Technology and Policy
Development
Energy Engineering
Fuel Technology
Planning
Power Technology
Geography
Study on Prediction Model for Boiler Thermal Efficiency Based on Support Vector Regression and Particle Swarm Optimization
The Open Automation and Control Systems Journal
Application of Support Vector Machine Based on Particle Swarm Optimization in Low Voltage Line Loss Prediction
Magnetic Remanence Prediction of NdFeB Magnets Based on a Novel Machine Learning Intelligence Approach Using a Particle Swarm Optimization Support Vector Regression
International Journal of Software Science and Computational Intelligence
The Prediction of the Man-Hour in Aircraft Assembly Based on Support Vector Machine Particle Swarm Optimization
Journal of Aerospace Technology and Management
Aerospace Engineering
Face Recognition Approach Using an Enhanced Particle Swarm Optimization and Support Vector Machine
Journal of Engineering and Applied Sciences
Engineering
Hybrid ARIMA and Support Vector Regression in Short‑term Electricity Price Forecasting
Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis
Agricultural
Biological Sciences
Research on Portfolio Optimization-Based on the Improved Particle Swarm
Economic Optimization Operation Analysis of Microgrid Based on Improved Particle Swarm Optimization
