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Electricity market demands to the power industry in de-regulated form in this paper. The proposed load forecasting using ANN shows the effective risk management plans. This power market is to maintain their effective cost in terms of energy generation, energy purchase and optimization of the switching losses. This creates the need of load forecasting. So in this paper the load forecasting using ANN...
With the development and reformation of China's power market, the environment of production and management is changing fundamentally. Therefore, considering the risk character of power supply enterprises, an evaluation index system to evaluate the risk in power supply enterprises is established. Then by combining PCA (principal component analysis) and BP neural network together, a risk evaluation...
The emerging trend of restructuring in the electric power industry has spawned a need of changed pricing mechanism, which can provide correct economic incentives and also facilitate the physical operation of the power network. Nodal/locational pricing mechanism in spot power market is an efficient tool for congestion management, as it provides implicit capacity allocation through bids for production/consumption...
This paper presents a backpropagation feed forward algorithm methodology for the problem of available power transfer capability calculations. The computation of ATC is very important to the transmission system security and market forecasting in a deregulated power systems. Based on the AC power distribution factor formulation of the problem, the inputs for the neural network are generator status,...
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