NDLI: Load forecasting of distribution equipment based on artificial neural network

Please wait, while we are loading the content...

Load forecasting of distribution equipment based on artificial neural network

Content Provider	Scilit
Author	Tao, Peng Dai, Wan Miao, Zhao Jin, Duan Xu Hengyi, Zhou Siming, Peng
Copyright Year	2019
Description	Journal: Iop Conference Series: Earth and Environmental Science Distribution network is the key link that affects the level of power supply service. In order to realize first-class modern distribution network and ensure the high quality electric power for residents, it is necessary to change the original working mode of operation and maintenance “passive repair” and the investment mode”treating the symptoms and not the disease” in distribution network. In such a huge distribution network structure, in order to achieve active maintenance and accurate investment construction, load forecasting of distribution network transformers scientifically will play a vital role. This paper proposes a method that realized the reasonable prediction of load in distribution network by using the self-learning and prediction function of artificial neural network and combing with the change characteristics of the load, which has important reference value to guide the construction investment and operation and maintenance of distribution network.
Related Links	https://iopscience.iop.org/article/10.1088/1755-1315/330/5/052011/pdf
ISSN	17551307
e-ISSN	17551315
DOI	10.1088/1755-1315/330/5/052011
Journal	Iop Conference Series: Earth and Environmental Science
Issue Number	5
Volume Number	330
Language	English
Publisher	IOP Publishing
Publisher Date	2019-10-01
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Earth and Environmental Science Hardware and Architecture Artificial Neural Network Distribution Network
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences Physics and Astronomy Environmental Science

Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302

See location in the Map
03222 282435
Mail: support@ndl.gov.in

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