Short-Term Load Monitoring of a Power System Based on Neural Network

Short term electric load prediction based on deep neural network and wavelet transform and input selection

Electricity demand forecasting is one of the most important factors in the planning, design, and operation of competitive electrical systems. However, most of the load forecasting methods are not accurate. Therefore, in order to increase the accuracy of the short-term electrical load forecast, this paper proposes a hybrid method for predicting electric load based on a deep neural network with a...

A New Approach for Investigating the Complexity of Short Term EEG Signal Based on Neural Network

 Background and purpose: The nonlinear quality of electroencephalography (EEG), like other irregular signals, can be quantified. Some of these values, such as Lyapunovchr('39')s representative, study the signal path divergence and some quantifiers need to reconstruct the signal path but some do not. However, all of these quantifiers require a long signal to quantify the signal complexity. Mate...

A Neural Network Based Short Term Load Forecasting

The electric load is strongly related to meteorological conditions and forecast models depend on climatic studies. The most used variable is the air temperature, because there is a close relation between thermal state of well being and the corresponding load (air-conditioned apparatus for instance). Due to certain matters like the increase of cities and terrain geography, the air temperature ha...

Short-term Electrical Load Forecasting for an Institutional/Industrial Power System Using an Artificial Neural Network

Short-Term Load Forecasting in Power Systems Using Adaptive Fuzzy Critic Based Neural Network

Load forecasting constitutes an important tool for efficient planning and operation of power systems and its significance has been intensifying particularly, because of the recent movement towards open energy markets and the need to assure high standards on reliability. Accurate load forecasting is of great importance for power system operation. It is the basis of economic dispatch, hydrotherma...