NDLI: Energy storage sizing for office buildings based on short-term load forecasting

Content Provider	IEEE Xplore Digital Library
Author	Xiaohui Yan Haisheng Chen Xuehui Zhang Chunqing Tan
Copyright Year	2012
Description	Author affiliation: Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing, China, 0086-100190 (Xiaohui Yan; Haisheng Chen; Xuehui Zhang; Chunqing Tan)
Abstract	This paper presents a three-layer Artificial Neural Network as the short-term load forecasting model adopting the fastest back-propagation algorithm with robustness, i.e., Levenberg-Marquardt optimization, and moreover, the momentum factor is considered during the learning process. Based on predicted data by aforementioned model, size determination of energy storage system in terms of power rating and capacity is undertaken according to the desired level of shaving peak demand. The illustrative example in reference to the weather and power load data of office building from July to August in 2011 gets the results that the average relative error −0.7% and the root-mean-square error 2.79% which show aforementioned forecasting model can work effectively with the attractive percentage, i.e. 87.5%, of error within the acceptable one 2.79%; Furthermore, size determination of energy storage system adopting battery energy storage technology, i.e. 7.03kW/36.42kWh, is carried out to meet the desired peak shaving demand.
Starting Page	290
Ending Page	295
File Size	172075
Page Count	6
File Format	PDF
ISBN	9781467319768
e-ISBN	9781467319751
DOI	10.1109/ICIAFS.2012.6419919
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-09-27
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Load forecasting Buildings Artificial neural networks Predictive models Forecasting Load modeling Energy storage
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	Mr. Siddhartha Mukherjee siddhartha@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	ndl-support@iitkgp.ac.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray 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

Short Term Load Forecasting Using Probabilistic Neural Network Based Algorithm

Short-term load forecasting based on load profiling

Neural networks ensembles for short-term load forecasting

A model for the effect of aggregation on short term load forecasting

Application of artificial neural network for short term load forecasting

Artificial neural network based short-term load forecasting

Short Term Load Forecasting Using Artificial Neural Network

A study on neural networks for short-term load forecasting

A New Spike Based Neural Network for Short-Term Electrical Load Forecasting

Energy storage sizing for office buildings based on short-term load forecasting

Similar Documents

Short Term Load Forecasting Using Probabilistic Neural Network Based Algorithm

Short-term load forecasting based on load profiling

Neural networks ensembles for short-term load forecasting

A model for the effect of aggregation on short term load forecasting

Application of artificial neural network for short term load forecasting

Artificial neural network based short-term load forecasting

Short Term Load Forecasting Using Artificial Neural Network

A study on neural networks for short-term load forecasting

A New Spike Based Neural Network for Short-Term Electrical Load Forecasting

Energy storage sizing for office buildings based on short-term load forecasting