000102157 001__ 102157
000102157 005__ 20190331192651.0
000102157 037__ $$aARTICLE
000102157 245__ $$aLoad forecasting on an electrical system with the aid of the Kohonen neural network
000102157 269__ $$a1992
000102157 260__ $$c1992
000102157 336__ $$aJournal Articles
000102157 500__ $$apower systems;Switzerland;load forecasting;Kohonen neural network;short- term;
000102157 520__ $$aThe authors present a new method of forecasting the short-term maximum load on an electrical network based on the Kohonen neural network, using data on the Western Swiss power network for 1984 and 1985. After a brief retrospective overview of the work carried out in this field, the new method is explained in detail. The results obtained with the method proposed are compared with those yielded by a simple classic method
000102157 6531_ $$aload forecasting;neural nets;power system analysis computing;
000102157 700__ $$aMacabrey, N.
000102157 700__ $$aBaumann, T.
000102157 700__ $$g105230$$aGermond, A. J.$$0243805
000102157 773__ $$j83$$tBulletin des schweizerischen elektrotechnischen vereins$$k5$$q13-19
000102157 909C0 $$xU10310$$0252145$$pLRE
000102157 909C0 $$xU12147$$0252310$$pEMC
000102157 909CO $$pSTI$$particle$$ooai:infoscience.tind.io:102157
000102157 937__ $$aLRE-ARTICLE-1992-003
000102157 937__ $$aEPFL-ARTICLE-102157
000102157 970__ $$a4267498/LRE
000102157 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000102157 980__ $$aARTICLE