NDLI: Online solar radiation forecasting under asymmetrie cost functions

Content Provider	IEEE Xplore Digital Library
Author	Fatemi, S.A. Kuh, A. Fripp, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. Eng., Univ. of Hawaii at Manoa, Honolulu, HI, USA (Fatemi, S.A.; Kuh, A.; Fripp, M.)
Abstract	Grid operators are tasked to balance the electric grid such that generation equals load. In recent years renewable energy sources have become more popular. Because wind and solar power are intermittent, system operators must predict renewable generation and allocate some operating reserves to mitigate errors. If they overestimate the renewable generation during scheduling, they do not have enough generation available during operation, which can be very costly. On the other hand, if they underestimate the renewable generation, they face only the cost of keeping some generation capacity online and idle. So overestimation of resources create a more serious problem than underestimation. However, many researchers who study the solar radiation forecasting problem evaluate their methods using symmetric criteria like root mean square error (RMSE) or mean absolute error (MAE). In this paper, we use LinLin and LinEx which are asymmetric cost functions that are better fitted to the grid operator problem. We modify the least mean squares (LMS) algorithm according to LinLin and LinEx cost functions to create an online forecasting method. Due to tracking ability, the online methods gives better performance than their corresponding batch methods which is confirmed using simulation results.
Starting Page	1
Ending Page	6
File Size	456420
Page Count	6
File Format	PDF
ISBN	9786163618238
DOI	10.1109/APSIPA.2014.7041755
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Cambodia
Access Restriction	Subscribed
Rights Holder	Asia-Pacific Signal and Information Processing Ass
Subject Keyword	Barium Cities and towns Cost function Mathematical model Solar radiation Forecasting Equations
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

Solar radiation forecasting under asymmetric cost functions

Determining regression constants for calculating global solar radiation at Jharkhand (India) region

Simplified Method To Estimate Global Solar Radiation

Solar radiation forecasting based on meteorological data using artificial neural networks

Nonlinear optimal control: principle of local optimality

Diverse routing for survivability in a fiber-based sparse network

Forecasting of the technical condition of the rolling stock of electric transport

Estimation of quality of life in Korean cities

The online median problem

Online solar radiation forecasting under asymmetrie cost functions

Similar Documents

Solar radiation forecasting under asymmetric cost functions

Determining regression constants for calculating global solar radiation at Jharkhand (India) region

Simplified Method To Estimate Global Solar Radiation

Solar radiation forecasting based on meteorological data using artificial neural networks

Nonlinear optimal control: principle of local optimality

Diverse routing for survivability in a fiber-based sparse network

Forecasting of the technical condition of the rolling stock of electric transport

Estimation of quality of life in Korean cities

The online median problem

Online solar radiation forecasting under asymmetrie cost functions