NDLI: The Markov Error Correcting Method in Gray Neural Network for Power Load Forecasting

Content Provider	IEEE Xplore Digital Library
Author	Dongxiao Niu Jialiang Lv
Copyright Year	2008
Description	Author affiliation: Sch. of Bus. Adm., North China Electr. Power Univ., Baoding (Dongxiao Niu; Jialiang Lv)
Abstract	As the power load forecasting sequence has stochastic growth and nonlinear wave characteristics, grey neural network model can effective reflect the growth properties of the sequence and fit the nonlinear relation. Markov chain can easily embody the random characteristic of system by complex factors, so the Markov chain error correction method was introduce in this paper, the whole forecasting precision of the sequence was optimized, and the transfer matrix for the forecasting sequence was decided, then the accuracy for power load forecasting was greatly improved. Through the demonstration test, the precision is better than ingenuous grey neural network, the method in this paper have feasibility in practice.
Starting Page	202
Ending Page	205
File Size	235779
Page Count	4
File Format	PDF
ISBN	9780769534022
DOI	10.1109/ICRMEM.2008.36
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-04
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Optimization methods Stochastic processes Predictive models 1) model Power system modeling markov chain GM (1 Intelligent networks BP neural network Load forecasting Neural networks Error correction Risk management Research and development management Power load
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Gray Neural Network Forecasting Model of Power Load Based on Ant Colony Algorithm Method

The Improved Markov Error Correcting Method in Gray SVM for Power Load Forecasting

Research on power load forecasting based on combined model of Markov and BP neural networks

Short-Term Power Load Forecasting Based on Self-Adapting PSO-BP Neural Network Model

Short Term Load Forecasting Based on BP Neural Network Trained by PSO

Application of improved gray Markov model in power load forecasting

Load forecasting based on GM - Markov chain model

Research of Residual Error-Ant Colony Optimization Gray Model Based on Markov in Load Forecasting

Forecast of PV power generation based on residual correction of Markov chain

The Markov Error Correcting Method in Gray Neural Network for Power Load Forecasting

Similar Documents

Gray Neural Network Forecasting Model of Power Load Based on Ant Colony Algorithm Method

The Improved Markov Error Correcting Method in Gray SVM for Power Load Forecasting

Research on power load forecasting based on combined model of Markov and BP neural networks

Short-Term Power Load Forecasting Based on Self-Adapting PSO-BP Neural Network Model

Short Term Load Forecasting Based on BP Neural Network Trained by PSO

Application of improved gray Markov model in power load forecasting

Load forecasting based on GM - Markov chain model

Research of Residual Error-Ant Colony Optimization Gray Model Based on Markov in Load Forecasting

Forecast of PV power generation based on residual correction of Markov chain

The Markov Error Correcting Method in Gray Neural Network for Power Load Forecasting