Department of Finance and Education of Guangdong Province 2016 [202]: Key Discipline Construction Program, China; Education Department of Guangdong Province: New and Integrated Energy System Theory and Technology Research Group [Project Number 2016KCXTD022]
Load forecasting is considered vital along with many other important entities required for assessing...
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Short-term load forecasting is the basis of power system operation and analysis. In recent years, th...
Simple neural network based short term load forecaster is designed which predicts load values to be ...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
With the deregulation of electrical energy industries, a prior estimated value of electrical power l...
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Abstract- Artificial Neural Network (ANN) Method is ap-plied to forecast the short-term load for a l...
Short term load forecasting (STLF) and very short term load forecasting (VSTLF) play an important ro...
Abstract: Artificial neural network is a computational intelligence technique that has found major ...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
Δημοσίευση σε επιστημονικό περιοδικόSummarization: This paper presents the development and applicati...
One of the most important research topics in smart grid technology is load forecasting, because accu...
Published ArticleSeveral forecasting models are available for research in predicting the shape of el...
Load forecasting is considered vital along with many other important entities required for assessing...
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Short-term load forecasting is the basis of power system operation and analysis. In recent years, th...
Simple neural network based short term load forecaster is designed which predicts load values to be ...
In this paper, the modelling and design of artificial neural network architecture for load forecasti...
With the deregulation of electrical energy industries, a prior estimated value of electrical power l...
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Abstract- Artificial Neural Network (ANN) Method is ap-plied to forecast the short-term load for a l...
Short term load forecasting (STLF) and very short term load forecasting (VSTLF) play an important ro...
Abstract: Artificial neural network is a computational intelligence technique that has found major ...
Load forecasting is the technique for prediction of electrical load. In a deregulated market it is m...
Load forecasting is very essential to the operation of electricity companies. It enhances the energy...
Δημοσίευση σε επιστημονικό περιοδικόSummarization: This paper presents the development and applicati...
One of the most important research topics in smart grid technology is load forecasting, because accu...
Published ArticleSeveral forecasting models are available for research in predicting the shape of el...
Load forecasting is considered vital along with many other important entities required for assessing...
The paper presents an Artificial Neural Network (ANN) model for short-term load forecasting of daily...
Short-term load forecasting is the basis of power system operation and analysis. In recent years, th...
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