Add to ORKGThis paper proposes a neural network approach for forecasting short- term loads. Three ANN- techniques – Radial Basis Function Neural Network, Feed forward Neural Network and Cascade- Forward Neural Network are discussed in this paper. Their performances are evaluated through a simulation study. Historical Load Data from the Load Dispatch Centre Jabalpur are used for training, testing and showing the good performance of the proposed method. The proposed model can forecast the load profile with a lead time of one to seven days
This paper proposes an approach to solve short term load forecasting (STLF) problem by using radial ...
One of the most important requirements for the operation and planning activities of an electrical ut...
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 paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Abstract: Artificial neural network is a computational intelligence technique that has found major ...
Short-term load forecasting (STLF) plays an important role for the economic and secure operation of ...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Abstract-- A novel clustering based Short Term Load Forecasting (STLF) using Artificial Neural Netwo...
Published ArticleSeveral forecasting models are available for research in predicting the shape of el...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
Simple neural network based short term load forecaster is designed which predicts load values to be ...
M. Ing.This dissertation describes the development of a feedforwa.rd neural network, trained by mean...
M. Ing.This dissertation describes the development of a feedforwa.rd neural network, trained by mean...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
This paper proposes an approach to solve short term load forecasting (STLF) problem by using radial ...
One of the most important requirements for the operation and planning activities of an electrical ut...
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 paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Abstract: Artificial neural network is a computational intelligence technique that has found major ...
Short-term load forecasting (STLF) plays an important role for the economic and secure operation of ...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Abstract-- A novel clustering based Short Term Load Forecasting (STLF) using Artificial Neural Netwo...
Published ArticleSeveral forecasting models are available for research in predicting the shape of el...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
Simple neural network based short term load forecaster is designed which predicts load values to be ...
M. Ing.This dissertation describes the development of a feedforwa.rd neural network, trained by mean...
M. Ing.This dissertation describes the development of a feedforwa.rd neural network, trained by mean...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
This paper proposes an approach to solve short term load forecasting (STLF) problem by using radial ...
One of the most important requirements for the operation and planning activities of an electrical ut...
The prediction of the electric demand has become as one of the main investigation fields in the elec...