NDLI: Short-Term Transmission-Loss Forecast for the Slovenian Transmission Power System Based on a Fuzzy-Logic Decision Approach

Content Provider	IEEE Xplore Digital Library
Author	Rejc, M. Pantos, M.
Copyright Year	1969
Abstract	In a deregulated environment, system operators are required to procure certain ancillary services, which, among others, may include compensation for active-power losses. This compensation usually involves long-term energy purchases and additional short-term energy purchases to cover the daily fluctuations. The short-term energy purchases require an accurate and quick short-term forecasting method that has to be efficiently applicable in day-ahead markets. This paper presents a novel short-term active-power-loss forecast method using power-flow analysis for the forecasted day. Specifically, this includes short-term load and generation forecasts as well as network-topology forecasts, which are used for the power-flow calculations and the resulting active-power loss calculations. To minimize the forecast errors, a fuzzy-weight grouping of the different short-term load and generation forecast results is proposed. An additional step for input-data pre-processing is presented, where the fuzzy clustering considers the patterns for training the forecasting models. The proposed approach was verified by using real data for the ENTSO-E interconnection and tested for the Slovenian power system. The forecasting results demonstrate the improved accuracy of the proposed approach.
Sponsorship	IEEE Power Engineering Society
Starting Page	1511
Ending Page	1521
Page Count	11
File Size	748418
File Format	PDF
ISSN	08858950
Volume Number	26
Issue Number	3
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Forecasting Indexes Artificial neural networks Load modeling Weather forecasting Load forecasting short-term loss forecasting Clustering methods fuzzy logic short-term generation forecasting short-term load forecasting
Content Type	Text
Resource Type	Article
Subject	Energy Engineering and Power Technology Electrical and Electronic Engineering

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

Next day load curve forecasting using hybrid correction method

Neural network based short-term load forecasting using weather compensation

Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method

Cascaded artificial neural networks for short-term load forecasting

A hybrid fuzzy, neural network bus load modeling and predication

On the Influence of Weather Forecast Errors in Short-Term Load Forecasting Models

Short-term load forecasting using an artificial neural network

Optimal fuzzy inference for short-term load forecasting

Short term load forecasting using fuzzy neural networks

Short-Term Transmission-Loss Forecast for the Slovenian Transmission Power System Based on a Fuzzy-Logic Decision Approach

Similar Documents

Next day load curve forecasting using hybrid correction method

Neural network based short-term load forecasting using weather compensation

Short-term load forecasting for special days in anomalous load conditions using neural networks and fuzzy inference method

Cascaded artificial neural networks for short-term load forecasting

A hybrid fuzzy, neural network bus load modeling and predication

On the Influence of Weather Forecast Errors in Short-Term Load Forecasting Models

Short-term load forecasting using an artificial neural network

Optimal fuzzy inference for short-term load forecasting

Short term load forecasting using fuzzy neural networks

Short-Term Transmission-Loss Forecast for the Slovenian Transmission Power System Based on a Fuzzy-Logic Decision Approach