Medium Term Electric Load Forecasting Using TLFN Neural Networks
نویسندگان
چکیده
منابع مشابه
Medium Term Electric Load Forecasting Using TLFN Neural Networks
This paper develops medium term electric load forecasting using neural networks, based on historical series of electric load, economic and demographic variables. The neural network chosen for this work is the Time Lagged Feedforward Network (TLFN), which combines conventional network topology (multilayer perceptron) with good handling of time dependencies by means of gamma memory. This is a ver...
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The ability of Artificial Neural Network (ANN) for estimating the natural gas demand load for the next day and month of the populated cities has shown to be a real concern. As the most applicable network, the ANN with multi-layer back propagation perceptrons is used to approximate functions. Throughout the current work, the daily effective temperature is determined, and then the weather data w...
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Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...
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ژورنال
عنوان ژورنال: International Journal of Computers Communications & Control
سال: 2006
ISSN: 1841-9836,1841-9836
DOI: 10.15837/ijccc.2006.2.2282