Using Fuzzy Neural Network with Genetic Algorithm for Forecasting Electric Load and Noise of Power Line Communication
碩士 === 輔仁大學 === 電子工程學系 === 94 === Electricity is widely applied in many aspects of modern life. Precise forecasting of electricity consumption may not only reduce operational and maintenance cost for power companies but also enhance the reliability of power systems, as well as avoid shortage of supp...
Main Authors: | CHIA-HUI KAO, 高嘉輝 |
---|---|
Other Authors: | Yuang-Shung Lee |
Format: | Others |
Language: | zh-TW |
Published: |
2006
|
Online Access: | http://ndltd.ncl.edu.tw/handle/92611157571184720857 |
Similar Items
-
Fuzzy logic load forecasting with genetic algorithm parameter adjustment
by: Carlson, Craig Stuart
Published: (2012) -
A New Short Term Electrical Load Forecasting by Type-2 Fuzzy Neural Networks
by: Alanazi, A., et al.
Published: (2022) -
ELECTRICITY LOAD FORECASTING WITH ARTIFICIAL NEURAL NETWORKS
by: H. Boraine, et al.
Published: (2012-01-01) -
Recurrent neural networks in electricity load forecasting
by: Alam, Samiul
Published: (2018) -
Using Fuzzy Neural Network and Fast Messy Genetic Algorithms to Forecast Project Duration
by: Kun-Qi Jian, et al.
Published: (2004)