O. Dragomir, Florin Dragomir, I. Brezeanu, E. Minca
{"title":"MLP神经网络作为短期负荷预测工具","authors":"O. Dragomir, Florin Dragomir, I. Brezeanu, E. Minca","doi":"10.1109/MED.2011.5982974","DOIUrl":null,"url":null,"abstract":"This paper focus on multilayer feedforward neural networks, the most popular and widely-used paradigms in many applications, including energy forecasting Precisely, it provides a multilayer perceptron (MLP) architecture, capable to forecast the DPcg (difference between the electricity produced and consumed) in relation with solar radiation, for short- term horizon. The forecasting accuracy and precision, in capturing nonlinear interdependencies between the load and solar radiation of this structure is illustrated and discussed using a data based obtain from an experimental photovoltaic amphitheatre of minimum dimension 0.4kV/10kW.","PeriodicalId":146203,"journal":{"name":"2011 19th Mediterranean Conference on Control & Automation (MED)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"MLP neural network as load forecasting tool on short- term horizon\",\"authors\":\"O. Dragomir, Florin Dragomir, I. Brezeanu, E. Minca\",\"doi\":\"10.1109/MED.2011.5982974\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper focus on multilayer feedforward neural networks, the most popular and widely-used paradigms in many applications, including energy forecasting Precisely, it provides a multilayer perceptron (MLP) architecture, capable to forecast the DPcg (difference between the electricity produced and consumed) in relation with solar radiation, for short- term horizon. The forecasting accuracy and precision, in capturing nonlinear interdependencies between the load and solar radiation of this structure is illustrated and discussed using a data based obtain from an experimental photovoltaic amphitheatre of minimum dimension 0.4kV/10kW.\",\"PeriodicalId\":146203,\"journal\":{\"name\":\"2011 19th Mediterranean Conference on Control & Automation (MED)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-06-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 19th Mediterranean Conference on Control & Automation (MED)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MED.2011.5982974\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 19th Mediterranean Conference on Control & Automation (MED)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MED.2011.5982974","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
MLP neural network as load forecasting tool on short- term horizon
This paper focus on multilayer feedforward neural networks, the most popular and widely-used paradigms in many applications, including energy forecasting Precisely, it provides a multilayer perceptron (MLP) architecture, capable to forecast the DPcg (difference between the electricity produced and consumed) in relation with solar radiation, for short- term horizon. The forecasting accuracy and precision, in capturing nonlinear interdependencies between the load and solar radiation of this structure is illustrated and discussed using a data based obtain from an experimental photovoltaic amphitheatre of minimum dimension 0.4kV/10kW.