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2 Articles

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A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis

Dongxiao Niu and Shuyu Dai

As an important part of power system planning and the basis of economic operation of power systems, the main work of power load forecasting is to predict the time distribution and spatial distribution of future power loads. The accuracy of load forecastin... see more

short-term load forecasting | empirical mode decomposition | grey relational analysis | modified particle swarm optimization algorithm | least square support vector machine

Energies , 2017

Free Access

Forecasting of Power Grid Investment in China Based on Support Vector Machine Optimized by Differential Evolution Algorithm and Grey Wolf Optimization Algorithm

Shuyu Dai, Dongxiao Niu and Yaru Han

In recent years, the construction of China’s power grid has experienced rapid development, and its scale has leaped into the first place in the world. Accurate and effective prediction of power grid investment can not only help pool funds and ration... see more

power grid investment forecasting | influencing factors screening | support vector machine | differential evolution | grey wolf optimization

Applied Sciences , 2018

Free Access

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