Real-time anomaly detection for very short-term load forecasting
نویسندگان
چکیده
منابع مشابه
Short - Term Load Forecasting
This paper presents a novel hybrid method for short-term load forecasting. The system comprises of two artificial neural networks (ANN), assembled in a hierarchical order. The first ANN is a multilayer perceptron (MLP) which functions as integrated load predictor (ILP) for the forecasting day. The output of the ILP is then fed to another, more complex MLP, which acts as an hourly load predictor...
متن کاملArtificial Neural Network and ANFIS Based Short Term Load Forecasting in Real Time Electrical Load Environment
An efficient and accurate electrical power Short Term Load forecasting plays a vital role for economic operational planning of both the electricity markets as well as regulated power systems. Till date many techniques and approaches have been presented for STLF in the literature. However there is still an essential need to develop more efficient and accurate load forecast model. This paper uses...
متن کاملShort-term Load Forecasting Method
Based on Wavelet and Reconstructed Phase Space Zunxiong Liu, Zhijun Kuang, Deyun Zhang 1.Dept. of Information and Communication Eng, Xi’an Jiaotong University. Xi’an, Shanxi, China. 2.Dept. of Information Eng, East China Jiaotong University. Nanchang, Jiangxi, China Abstract: This paper proposed wavelet combination method for short-term forecasting, which makes merit of wavelet decomposition an...
متن کاملEfficient Short-Term Electricity Load Forecasting Using Recurrent Neural Networks
Short term load forecasting (STLF) plays an important role in the economic and reliable operation ofpower systems. Electric load demand has a complex profile with many multivariable and nonlineardependencies. In this study, recurrent neural network (RNN) architecture is presented for STLF. Theproposed model is capable of forecasting next 24-hour load profile. The main feature in this networkis ...
متن کاملCombination Model for Short-Term Load Forecasting
Gas demand possesses dual property of growing and seasonal fluctuation simultaneously, it makes gas demand variation possess complex nonlinear character. From previous studies know single model for nonlinear problem can’t get good results but accurately gas forecast were essential part of an efficient gas system planning and operation. In recent years, lots of scholar put forward combination mo...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Modern Power Systems and Clean Energy
سال: 2018
ISSN: 2196-5625,2196-5420
DOI: 10.1007/s40565-017-0351-7