In recent years, support vector regression (SVR) models have been widely applied in short-term electricity load forecasting. A critical challenge when appl... TN Tran,BM Lam,AT Nguyen,... - International Journal of Electrical & Computer Engineering (2088-8708) 被引量: 0发表: 2022年 Appliance...
Although there is an abundance of studies presenting innovative individual methods for load forecasting, comprehensive comparisons of popular methods are hard to come across.In this paper, eight methods for day-ahead forecasts of supermarket, school and residential electrical load on the level of ...
In order to achieve high precision ultra-short-term prediction of wind power, a new ultra-short-term prediction method for wind power is proposed by combin... J Wei,X Wu,T Yang,... - 《International Journal of Electrical Power & Energy Systems》 被引量: 0发表: 2023年 加载更多来源...
a short-term load forecasting method for typhoon periods is developed based on load modifications of similar days.In order to overcome the difficulty of insufficient samples,the recent days and the same periods in the previous years are added to the sample set from which those days with similar...
D.: Short-term load forecasting, Proc. IEEE, December 1987. Gupta, P. C.: A stochastic approach to peak power demand forecasting in Electric utility systems, IEEE Trans. Power Apparatus Systems 90(3) (1971). Hagan, M. T. and Behr, S. M.: The time series approach to short term ...
This study aims at reviewing the different load forecasting techniques developed for the mid- and long-term horizons of electrical power systems. Since there has never been an explicit literature study of the various forecasting techniques for mid- and long-term horizons, this study reviews ...
In this paper, we introduce data mining techniques for short-term load forecasting (STLF). First, we use the K-mean algorithm to classify historical load d... CH Kim,BG Koo,JH Park - 《Journal of Electrical Engineering & Technology》 被引量: 11发表: 2012年 Short‐term electric power lo...
Load resistor contactor is used to shunt or insert a step of load limiting, shifting or indicating resistance in a power circuit, or to switch a space heater in circuit or to switch a light or regenerative, load resistor or a power rectifier or other machine in and out of circuit. From:...
Accurate short-term load forecasting is of great significance to ensure the security and economic operation of power grid. Long and short term memory (LSTM) based predictive model in machine learning is a typical method for short-term load forecasting, but it is difficult to extract the weight ...
Short-term load forecasting (STLF) plays a very important role in improving the economy and security of electricity system operations. In this paper, a hybrid STLF method is proposed based on the improved ensemble empirical mode decomposition (IEEMD) and back propagation neural network (BPNN). ...