Scientific Research An Academic Publisher
OPEN ACCESS
Add your e-mail address to receive free newsletters from SCIRP.
Select Journal AA AAD AAR AASoci AAST ABB ABC ABCR ACES ACS ACT AD ADR AE AER AHS AID AiM AIT AJAC AJC AJCC AJCM AJIBM AJMB AJOR AJPS ALAMT ALC ALS AM AMI AMPC ANP APD APE APM ARS ARSci AS ASM BLR CC CE CellBio ChnStd CM CMB CN CRCM CS CSTA CUS CWEEE Detection EMAE ENG EPE ETSN FMAR FNS GEP GIS GM Graphene GSC Health IB ICA IIM IJAA IJAMSC IJCCE IJCM IJCNS IJG IJIDS IJIS IJMNTA IJMPCERO IJNM IJOC IJOHNS InfraMatics JACEN JAMP JASMI JBBS JBCPR JBiSE JBM JBNB JBPC JCC JCDSA JCPT JCT JDAIP JDM JEAS JECTC JEMAA JEP JFCMV JFRM JGIS JHEPGC JHRSS JIBTVA JILSA JIS JMF JMGBND JMMCE JMP JPEE JQIS JSBS JSEA JSEMAT JSIP JSS JSSM JST JTR JTST JTTs JWARP LCE MC ME MI MME MNSMS MPS MR MRC MRI MSA MSCE NJGC NM NR NS OALib OALibJ ODEM OJA OJAB OJAcct OJAnes OJAP OJApo OJAppS OJAPr OJAS OJBD OJBIPHY OJBM OJC OJCB OJCD OJCE OJCM OJD OJDer OJDM OJE OJEE OJEM OJEMD OJEpi OJER OJF OJFD OJG OJGas OJGen OJI OJIC OJIM OJINM OJL OJM OJMC OJMetal OJMH OJMI OJMIP OJML OJMM OJMN OJMP OJMS OJMSi OJN OJNeph OJO OJOG OJOGas OJOp OJOph OJOPM OJOTS OJPathology OJPC OJPChem OJPed OJPM OJPP OJPS OJPsych OJRA OJRad OJRD OJRM OJS OJSS OJSST OJST OJSTA OJTR OJTS OJU OJVM OPJ POS PP PST PSYCH SAR SCD SGRE SM SN SNL Soft SS TEL TI UOAJ VP WET WJA WJCD WJCMP WJCS WJET WJM WJNS WJNSE WJNST WJV WSN YM
More>>
A. Goia, C. May and G. Fusai, “Functional Clustering and Linear Regression for Peak Load Forecasting,” International Journal of Forecasting, Vol. 26, No. 4, 2010, pp. 700-711. doi:10.1016/j.ijforecast.2009.05.015
has been cited by the following article:
TITLE: A Hybrid Short Term Load Forecasting Model of an Indian Grid
AUTHORS: R. Behera, B. P. Panigrahi, B. B. Pati
KEYWORDS: Short Term Load Forecasting, Parameter Estimation, Trending Technique, Co-Relation
JOURNAL NAME: Energy and Power Engineering, Vol.3 No.2, May 18, 2011
ABSTRACT: This paper describes an application of combined model of extrapolation and correlation techniques for short term load forecasting of an Indian substation. Here effort has been given to improvise the accuracy of elec-trical load forecasting considering the factors, past data of the load, respective weather condition and finan-cial growth of the people. These factors are derived by curve fitting technique. Then simulation has been conducted using MATLAB tools. Here it has been suggested that consideration of 20 years data for a devel-oping country should be ignored as the development of a country is highly unpredictable. However, the im-portance of the past data should not be ignored. Here, just previous five years data are used to determine the above factors.
Related Articles:
Medium-Term Electric Load Forecasting Using Multivariable Linear and Non-Linear Regression
Nazih Abu-Shikhah, Fawwaz Elkarmi, Osama M. Aloquili
DOI: 10.4236/sgre.2011.22015 7,464 Downloads 13,544 Views Citations
Pub. Date: May 19, 2011
Erratum to “The Faraday Isolator, Detailed Balance and the Second Law” [Journal of Applied Mathematics and Physics, Vol. 5, No. 4, April 2017 PP. 889-899]
George S. Levy
DOI: 10.4236/jamp.2017.58127 1,428 Downloads 2,727 Views Citations
Pub. Date: August 25, 2017
Long Term Load Forecasting and Recommendations for China Based on Support Vector Regression
Shijie Ye, Guangfu Zhu, Zhi Xiao
DOI: 10.4236/epe.2012.45050 4,069 Downloads 6,349 Views Citations
Pub. Date: September 26, 2012
Medium Term Load Forecasting for Jordan Electric Power System Using Particle Swarm Optimization Algorithm Based on Least Square Regression Methods
Mohammed Hattab, Mohammed Ma’itah, Tha’er Sweidan, Mohammed Rifai, Mohammad Momani
DOI: 10.4236/jpee.2017.52005 1,124 Downloads 1,754 Views Citations
Pub. Date: February 23, 2017
Electrical Load Forecasting Using Fuzzy System
Mahir Faysal, Md. Jahirul Islam, Md. Mohiuddin Murad, Md. Imdadul Islam, M. Ruhul Amin
DOI: 10.4236/jcc.2019.79003 258 Downloads 696 Views Citations
Pub. Date: September 9, 2019
