A Hybrid Approach Towards Improved Artificial Neural Network Training for Short-Term Load Forecasting

• Main Authors: Olegario, Cielito C, Coronel, Andrei D, Medina, Ruji P, Gerardo, Bobby D
• 格式: text
• 出版: Archīum Ateneo 2018
• 主題: Computer Sciences; Databases and Information Systems; Theory and Algorithms
• 在線閱讀: https://archium.ateneo.edu/discs-faculty-pubs/294; https://dl.acm.org/doi/abs/10.1145/3239283.3239306

The power of artificial neural networks to form predictive models for phenomenon that exhibit non-linear relationships is a given fact. Despite this advantage, artificial neural networks are known to suffer drawbacks such as long training times and computational intensity. The researchers propose a...