Fuzzy linear regression method has been used for short-term load forecasting of the special day in the previous researches. However, considerable load forecasting errors would be occurring if a special day is located on Saturday or Monday. In this paper, a new load forecasting method for the consecutive holidays is proposed with the consideration of the power demand variation rate. In the proposed method, a exponential smoothing model reflecting temperature is used to short-term load forecasting for Sunday during the consecutive holidays and then the loads of the special day during the consecutive holidays is calculated using the hourly power demand variation rate between the previous similar consecutive holidays. The proposed method is tes...
In this paper short term load forecasting (STLF) is done with using multiple linear regression (MLR)...
Concern of this work is analysis and short-term electricity demand forecasting under tropical condit...
In this paper we make research in Residential short-term load forecasting. Different application sce...
Many activities such as economic, education and manufacturing would paralyse with limited supply of ...
(Jeong-Do Park․Kyung-Bin Song․Hyeong-Woo Lim․Hae-Soo Park) Abstract- The accuracy of load forecast i...
M.Sc.The Christmas and Easter holiday periods have a large influence on electricity load. Forecastin...
Electric load forecasting has become a very decisive in power system studies for its systematic func...
A Moving holiday is a non-fixed holiday according to the Gregorian calendar. Most of the electricity...
Many activities (such as economic, education and etc.) would paralyse with limited supply of electri...
Abstract:- Load forecasting constitutes an important tool for efficient planning and operation of po...
Estimation of daily load in distribution companies which is performed to present the results to the ...
Abstract- Load forecasting is essential to the economical and the stable power system operations. In...
Since it is difficult to store and keep electric energy, the supplier of electric power must try to ...
In electrical power management, load forecasting accuracy is an indispensable factor which influence...
Load forecasting is an important component for power system energy management system. Precise load f...
In this paper short term load forecasting (STLF) is done with using multiple linear regression (MLR)...
Concern of this work is analysis and short-term electricity demand forecasting under tropical condit...
In this paper we make research in Residential short-term load forecasting. Different application sce...
Many activities such as economic, education and manufacturing would paralyse with limited supply of ...
(Jeong-Do Park․Kyung-Bin Song․Hyeong-Woo Lim․Hae-Soo Park) Abstract- The accuracy of load forecast i...
M.Sc.The Christmas and Easter holiday periods have a large influence on electricity load. Forecastin...
Electric load forecasting has become a very decisive in power system studies for its systematic func...
A Moving holiday is a non-fixed holiday according to the Gregorian calendar. Most of the electricity...
Many activities (such as economic, education and etc.) would paralyse with limited supply of electri...
Abstract:- Load forecasting constitutes an important tool for efficient planning and operation of po...
Estimation of daily load in distribution companies which is performed to present the results to the ...
Abstract- Load forecasting is essential to the economical and the stable power system operations. In...
Since it is difficult to store and keep electric energy, the supplier of electric power must try to ...
In electrical power management, load forecasting accuracy is an indispensable factor which influence...
Load forecasting is an important component for power system energy management system. Precise load f...
In this paper short term load forecasting (STLF) is done with using multiple linear regression (MLR)...
Concern of this work is analysis and short-term electricity demand forecasting under tropical condit...
In this paper we make research in Residential short-term load forecasting. Different application sce...