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Can I read 05/00154 Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets: Yamin, H. Y. et al. International Journal of Electrical Power & Energy Systems, 2004, 26, (8), 571–581 on EtoBox?
05/00154 Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets: Yamin, H. Y. et al. International Journal of Electrical Power & Energy Systems, 2004, 26, (8), 571–581 is a Engineering article available to read on EtoBox.
What is 05/00154 Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets: Yamin, H. Y. et al. International Journal of Electrical Power & Energy Systems, 2004, 26, (8), 571–581 about?
06 Electrical power supply and utilization (economics, policy, supplies, forecasts) power system components, which uses the parameters defined as the enthalpy change, w, the entropy change, ~r and the mass flow ratio design, MFR is put forward. Design information and simulation will help to determine the RPS for each component operating without any malfunction. The RPS can be used to compare, to evaluate and to diagnose the actual operating condition of the plant components so as to detect its possible malfunction. A simulated example of a 105 MW power plant is presented herein so that thermo-characterization of steam turbines, a condenser, a heat exchanger, and a pump is illustrated. The induced and intrinsic component malfunction effects on the RPS are also presented. Their effects are related to the RPS, thereby opening the possibility to apply methodologies to any internal decay and/or induced malfunctions that could appear in an operating component, in terms of the heat rate impact.
Who reads 05/00154 Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets: Yamin, H. Y. et al. International Journal of Electrical Power & Energy Systems, 2004, 26, (8), 571–581?
It is typically read by researchers, students, and practitioners in Engineering.
- Publisher
- Elsevier Science; Elsevier ; Elsevier BV (ISSN 0140-6701)
- Published
- 2005
- Language
- EN
- Field
- Engineering (Physical Sciences)