Wind/solar power forecasting using improved LSTM neural networks

• Main Author: Liu, Shixian
• Other Authors: Ponnuthurai N. Suganthan
• Format: Theses and Dissertations
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/78572
• Institution: Nanyang Technological University

Nowadays, new energy become more and more important not only for industry but also for our citizens. How to forecast the wind and solar power correctly is also necessary for power plant. In this dissertation, four kinds of forecasting system based respectively on NARX model, BP neural network model,...