Title :
Real-time electricity pricing using a neural network approach
Author :
Dondo, Maxwell G. ; El-Hawary, M.E.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. Nova Scotia, Halifax, NS, Canada
Abstract :
An approach for the determination of real-time electricity prices on-line using artificial neural networks is presented. This method considers the real-time load and automatically determines the real-time electricity rate at that particular instant for a given consumer. A feedforward backpropagation artificial neural network is trained for a particular power system network using data and results from an optimal power flow based spot pricing algorithm
Keywords :
backpropagation; costing; economics; feedforward neural nets; load flow; power system analysis computing; real-time systems; feedforward backpropagation ANN; neural network; optimal power flow based spot pricing algorithm; power system network; real-time electricity pricing; real-time load; Artificial neural networks; Backpropagation algorithms; Costs; Energy consumption; Load flow; Neural networks; Power generation; Power system modeling; Pricing; Reactive power;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.528149
