{"title":"人工神经网络在长期需求预测中的应用","authors":"Tawfiq Al-Saba, Ibrahim El-Amin","doi":"10.1016/S0954-1810(98)00018-1","DOIUrl":null,"url":null,"abstract":"<div><p>This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast.</p></div>","PeriodicalId":100123,"journal":{"name":"Artificial Intelligence in Engineering","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"1999-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0954-1810(98)00018-1","citationCount":"165","resultStr":"{\"title\":\"Artificial neural networks as applied to long-term demand forecasting\",\"authors\":\"Tawfiq Al-Saba, Ibrahim El-Amin\",\"doi\":\"10.1016/S0954-1810(98)00018-1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast.</p></div>\",\"PeriodicalId\":100123,\"journal\":{\"name\":\"Artificial Intelligence in Engineering\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0954-1810(98)00018-1\",\"citationCount\":\"165\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Artificial Intelligence in Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0954181098000181\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Artificial Intelligence in Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0954181098000181","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Artificial neural networks as applied to long-term demand forecasting
This paper reports on the application of Artificial Neural Networks (ANN) to long-term load forecasting. The ANN model is used to forecast the energy requirements of an electric utility. It is then compared to time series models. The comparison reveals that the ANN produces results that are close to the actual data. The ANN model is then used to forecast the annual peak demand of a Middle Eastern utility up to the year 2006. The results compare favorably with the utility’s forecast.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
