This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast
Accurate electricity demand forecasts are critical for daily operations planning. They influence man...
Abstract: In this paper, a new approach to the short-term load forecasting using autoregressive (AR)...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...
This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecast...
Load forecasting plays a paramount role in the operation and management of power systems. Accurate e...
This paper examines the application of artificial neural networks (ANNs) to the modelling and foreca...
LONG-TERM LOAD FORECASTING ON THE JAVA-MADURA-BALI ELECTRICITY SYSTEM USING ARTIFICIAL NEURAL NETWOR...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Accurate short term load forecasting is an essential task in power system planning, operation, and c...
The paper illustrates two different Artificial Neural Networks (ANN) architectures for electric Shor...
Having an accurate forecast of future electricity usage is vital for utility companies to be able to...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The power output capacity of a local electrical utility is dictated by its customers’ cumulative pea...
Artificial Neural Network model for short-term demand forecast of hourly peak load is proposed in th...
This paper deals with so-called feedforward neural network model which we consider from a statistica...
Accurate electricity demand forecasts are critical for daily operations planning. They influence man...
Abstract: In this paper, a new approach to the short-term load forecasting using autoregressive (AR)...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...
This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecast...
Load forecasting plays a paramount role in the operation and management of power systems. Accurate e...
This paper examines the application of artificial neural networks (ANNs) to the modelling and foreca...
LONG-TERM LOAD FORECASTING ON THE JAVA-MADURA-BALI ELECTRICITY SYSTEM USING ARTIFICIAL NEURAL NETWOR...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Accurate short term load forecasting is an essential task in power system planning, operation, and c...
The paper illustrates two different Artificial Neural Networks (ANN) architectures for electric Shor...
Having an accurate forecast of future electricity usage is vital for utility companies to be able to...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The power output capacity of a local electrical utility is dictated by its customers’ cumulative pea...
Artificial Neural Network model for short-term demand forecast of hourly peak load is proposed in th...
This paper deals with so-called feedforward neural network model which we consider from a statistica...
Accurate electricity demand forecasts are critical for daily operations planning. They influence man...
Abstract: In this paper, a new approach to the short-term load forecasting using autoregressive (AR)...
The paper illustrates an artificial neural network (ANN) approach based on supervised neural network...