Open AccessResearch on Application of Neural Networks to Wind Power Prediction
Author(s) -
Yuanyi Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1533/2/022005
Subject(s) - artificial neural network , wind power , power (physics) , environmental science , meteorology , computer science , artificial intelligence , engineering , geography , electrical engineering , physics , quantum mechanics
In this paper, a wind power prediction method based on deep neural network is proposed, which fully considers several factors that influence wind power, such as wind speed, wind direction, air density and season, and gives the best power prediction value through deep neural network training and learning. The results show that the neural network method improves the robustness of wind power prediction.