Electricity price forecasting using ensemble neural networks

• Main Author: Nainan Abhay George
• Other Authors: Bo An
• Format: Final Year Project
• Language: English
• Published: 2017
• Subjects: DRNTU::Engineering::Computer science and engineering::Mathematics of computing::Probability and statistics
• Online Access: http://hdl.handle.net/10356/72903
• Institution: Nanyang Technological University

Computational Intelligence models are the newest family of models to tackle the research problem of Electricity Price Forecasting (EPF). This family of models consists of feed-forward, recurrent(RNN), and fuzzy neural networks. Since these forecasting models are non-linear and can train on sequence...