Load forecasting is very essential to the operation of electricity companies. It enhances the energy-efficient and reliable operation of a power system. This paper presents a study of short-term load forecasting using Artificial Neural Networks (ANNs) and applied it to the Nigeria Electric power system. This gives load forecasts one hour in advance. Historical load data obtained from the Powe
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting plays a paramount role in the operation and management of power systems. Accurate e...
This work proposes a short-term electrical load demand forecaster for the Nigerian power distributi...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
The major predicament with electricity as a means of transporting energy is that it cannot be stored...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
Abstract- Artificial Neural Network (ANN) Method is ap-plied to forecast the short-term load for a l...
The modernization and optimization of current power systems are the objectives of research and devel...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
Load forecasting has become in recent years one of the major areas of research in electrical enginee...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting plays a paramount role in the operation and management of power systems. Accurate e...
This work proposes a short-term electrical load demand forecaster for the Nigerian power distributi...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
The major predicament with electricity as a means of transporting energy is that it cannot be stored...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
The prediction of the electric demand has become as one of the main investigation fields in the elec...
Abstract- Artificial Neural Network (ANN) Method is ap-plied to forecast the short-term load for a l...
The modernization and optimization of current power systems are the objectives of research and devel...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
Abstract. Load forecasting has become in recent years one of the major areas of research in electric...
Load forecasting has become in recent years one of the major areas of research in electrical enginee...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting remains as an important activity for the power systems industry, being a critical s...
Load forecasting plays a paramount role in the operation and management of power systems. Accurate e...