Electric Load Forecasting Model for the State of Bahrain Network

Abstract

T he prese nt paper pre sents a c lass o f week se rie s fo recasting manner. T his c lass, emplo yed in the e xtent o f lo ng-te rm e lec tric load fo recasting, is based o n Fuzzy Infere nce C lustering (FIC ) method alo ng with A NN. T he FIC is fo llo wed to arrange the o pe rating wee k co rrec tly. In the pro po sed algo rithm, the FIC was used to e valuate the c lasse s. T he po we r o f the propo sed architecture is sho wn by one wee k in advance o f Bahrain po we r syste m grid. T he unfamiliar use o f informatio n obtaining fro m the arrangem ent stage pe rmits the procedure used in nding a re le vant e nhancement o f the fo recast correc tness fo r irregular load situatio ns. T he e mployed fuzzy c luste ring algorithm is use ful also for linguistic mode ling of an e lec tric power demand used for highe r hierarc hy dec ision syste m. T he algo rithm is e xplained in detail and veri ed through a numerical e xample o f state o f Bahrain netwo rk.