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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rong-Jong Wai Yi-Chang Chen Yung-Ruei Chang |
| Copyright Year | 2011 |
| Description | Author affiliation: Institute of Nuclear Energy Research, Atomic Energy Council, Taoyuan, Taiwan, R.O.C. (Yung-Ruei Chang) || Department of Electrical Engineering, Yuan Ze University, Chung Li, Taiwan, R.O.C. (Rong-Jong Wai; Yi-Chang Chen) |
| Abstract | Due to the lack of natural resources, the majority of energy in many countries must depend on import, and the corresponding cost is expensive and affected by international market fluctuation and control. In recent years, an intelligent micro-grid system composed of renewable energy sources is becoming one of the interesting research topics. The forecasting of short-term loads enables the intelligent micro-grid system to manipulate an optimized loading and unloading control by measuring the electrical supply each hour for achieving the best economical and power efficiency. Therefore, this study investigates a fuzzy neural network (FNN) with varied learning rates for the short-term load forecasting (STLF), and compares its better forecasting performance with a conventional neural network (NN) by numerical simulations of a real case in Taiwan campus. |
| Starting Page | 2426 |
| Ending Page | 2431 |
| File Size | 1475118 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007318 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Forecasting Fuzzy neural networks Load modeling Predictive models Artificial neural networks Load forecasting Numerical simulation short-term load forecasting Fuzzy neural network varied learning rates |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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