Short-term load forecastingGrey systemGenetic algorithmTopological predictingA refined grey topological predicting approach is proposed in this paper to solve short-term load forecasting (SJLF) problems in power system. Traditional topological predicting technique is not capable of accurately predicting the ...
2.The simulation results show that the orthogonal decomposition feature expansion based process neural networks is supprior to time-domain feture expansion based proscess neural networks in training speed,veracity in prediction,and more suitable for the application of electric load forecasting.结果表明,基...
Short-term load forecasting in power system based on adaptive network-based fuzzy inference system An Adpative Neuro-Fuzzy Inference System based on T-S model is presented in this paper.ANFIS is initialized by subtractive clustering and neuro network is ... F Yang,WU Yao-Wu,XY Xiong,... -...
aPores are less visible, skin texture is refined, your skin looks radiant and healthy. 毛孔是较不可看见的,皮肤纹理被提炼,您的皮肤看起来光芒四射和健康。[translate] aMicrotemp Thermal Fuse Microtemp热量保险丝[translate] aLoad Forecasting for Jordan's Power System[translate]...
The paper presents the application of recurrent LSTM neural networks for short-time load forecasting in the Polish Power System (PPS) and a small region of a power system in Central Poland. The objective of the present work was to develop an efficient and accurate method of forecasting the 24...
AHybridLearning AlgorithmforNeuralNetworkBasedPowerSystemLoadForecasting 神经网络式电力负荷预测的混合计算 ilib.cn 3. Theapplicationoffuzzyclassificationinthepowersystemloadforecasting 模糊聚类在电力负荷预测中的应用 www.ilib.cn 4. PowerSystemLoadForecasting:Current StatusandFutureProspects ...
1. Short term load forecasting in power systems using a hybrid approach based on SVR technique [J] . Khorram-Nia Reza, Karimi-Khorami Soroosh Journal of intelligent & fuzzy systems: Applications in Engineering and Technology . 2015,第1期 机译:基于SVR技术的混合方法在电力系统中的短期负荷预测...
Short-term load forecasting is a popular topic in the electric power industry due to its essentiality in energy system planning and operation. Load forecasting is important in deregulated power systems since an improvement of a few percentages in the prediction accuracy will bring benefits worth of ...
Long-term Load Forecasting in Power System: Grey System Prediction-based Models Long-term load forecasting is an important component for power system energy management and reliable power system operation. The Grey model GM (1, 1) based... M Askari,A Fetanat - 《Journal of Applied Sciences》 ...
This paper presents a combinative method of power system load forecasting based on quantum behavior particle swarm optimization and chaotic neural network. Based on the quantum behavioral characteristics of the particle swarm,and using the identical particle system to update the particle's position,the ...