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>>
S. Fan, L. Chen and W. J. Lee, “Short-Term Load Forecasting Using Comprehensive Combination Based on Multi-Meteorological Information,” IEEE Industrial and Commercial Power Systems Technical Conference, Vol. 9, No. 2, 1994, pp. 1-7.
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:
Short-Term Load Forecasting Using Soft Computing Techniques
D. K. Chaturvedi, Sinha Anand Premdayal, Ashish Chandiok
DOI: 10.4236/ijcns.2010.33035 6,068 Downloads 12,417 Views Citations
Pub. Date: March 31, 2010
Short-Term Load Forecasting Using Radial Basis Function Neural Network
Wen-Yeau Chang
DOI: 10.4236/jcc.2015.311007 2,666 Downloads 3,302 Views Citations
Pub. Date: November 19, 2015
Real-Time Short-Term Forecasting Based on Information Management
Jamal Raiyn, Tomer Toledo
DOI: 10.4236/jtts.2014.41002 4,487 Downloads 6,565 Views Citations
Pub. Date: January 15, 2014
Forecasting the Demand of Short-Term Electric Power Load with Large-Scale LP-SVR
Pablo Rivas-Perea, Juan Cota-Ruiz, David Garcia Chaparro, Abel Quezada Carreón, Francisco J. Enríquez Aguilera, Jose-Gerardo Rosiles
DOI: 10.4236/sgre.2013.46051 3,913 Downloads 5,375 Views Citations
Pub. Date: September 6, 2013
Short-Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference
Evans Nyasha Chogumaira, Takashi Hiyama
DOI: 10.4236/epe.2011.31002 6,417 Downloads 11,629 Views Citations
Pub. Date: February 25, 2011