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Duo Shang
Researcher at Stony Brook University
Publications - 2
Citations - 588
Duo Shang is an academic researcher from Stony Brook University. The author has contributed to research in topics: Wind speed & Renewable energy. The author has an hindex of 2, co-authored 2 publications receiving 453 citations.
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Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
TL;DR: A Back Propagation neural network based on Particle Swam Optimization that combines PSO-BP with comprehensive parameter selection is introduced that achieves much better forecast performance than the basic back propagation neural network and ARIMA model.
Journal ArticleDOI
Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting
TL;DR: In this paper, a multi-output FFNN (feedforward neural network) with EMD (empirical mode decomposition)-based signal filtering and seasonal adjustment is proposed for accurate electricity demand forecasting.