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As the development of energy market and the interest for new energy recourses such as wind energy and solar energy, energy management system of distributed generation (DG) becomes significant for the stability and economic operation of the DG system. This paper introduced a basic structure of DG system and illustrated the principle of power forecasting using neutral network. Finally a novel energy...
Accurate and reliable load forecasting is necessary to ameliorate energy management. Short-term load forecast plays a crucial role in economic and secure system operation. This paper presents a practical method for short-term electric load forecast problem using an artificial neural network with a powerful Levenberg-Marquardt training algorithm approach. The applications of real load from Ontario,...
A wide area network (WAN) is the set of components interconnected in a power system. A WAN is operated in the control center, where operators are taking manual action on real time and engineers are attending offline tasks for obtaining necessary guidelines. The automatic generation control (AGC) makes possible the balance between the generation and the load (A.J. Wood and B.F. Wollenberg, 1984) based...
Accurate and reliable load forecasting is necessary to ameliorate energy management. For the purpose of load demands prediction, this paper develops an artificial neural network model, which adopts Levenberg-Marquardt method as training algorithm, both visual comparison and statistical techniques as validation methods. With the built neural network model, the hourly load demands of Ontario in 2004...
This paper proposes practical predictions of hospital air-conditioner electricity using the artificial neural network, owing to its excellent predict ability. The influence variables of hospital air-conditioner electricity are included temperature, relative humidity, the previous one hour electricity, the time in day, and some uncontrolled variables, e.g. the number of surgical operations, the number...
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