Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting

Data mining technology provides an effective research tool for us to process uncertain, noisy and implicit information. Rough set theory, as a kind of typical data mining algorithm, provides an effective tool for research on analysis and induction of inaccurate data, mining relations among data and...

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Main Author:	H.H. Wang
Format:	Article
Language:	English
Published:	AIDIC Servizi S.r.l. 2016-08-01
Series:	Chemical Engineering Transactions
Online Access:	https://www.cetjournal.it/index.php/cet/article/view/3934

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spelling	doaj-f09e2f10038a4b768a85cde8f3e366482021-02-19T21:02:29ZengAIDIC Servizi S.r.l.Chemical Engineering Transactions2283-92162016-08-015110.3303/CET1651070Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load ForecastingH.H. WangData mining technology provides an effective research tool for us to process uncertain, noisy and implicit information. Rough set theory, as a kind of typical data mining algorithm, provides an effective tool for research on analysis and induction of inaccurate data, mining relations among data and discovering potential knowledge. The paper will establish a short-term load prediction model based on rough set theory. It utilizes rough to carry out attribute reduction for various historical data related to load, gets rid of those irrelative attribute to decision information and simplifies input variable so as to shorten the search space of neural network and improve the prediction performance.https://www.cetjournal.it/index.php/cet/article/view/3934
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	H.H. Wang
spellingShingle	H.H. Wang Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting Chemical Engineering Transactions
author_facet	H.H. Wang
author_sort	H.H. Wang
title	Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting
title_short	Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting
title_full	Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting
title_fullStr	Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting
title_full_unstemmed	Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting
title_sort	application research on data mining and artificial intelligence theory in short-term power load forecasting
publisher	AIDIC Servizi S.r.l.
series	Chemical Engineering Transactions
issn	2283-9216
publishDate	2016-08-01
description	Data mining technology provides an effective research tool for us to process uncertain, noisy and implicit information. Rough set theory, as a kind of typical data mining algorithm, provides an effective tool for research on analysis and induction of inaccurate data, mining relations among data and discovering potential knowledge. The paper will establish a short-term load prediction model based on rough set theory. It utilizes rough to carry out attribute reduction for various historical data related to load, gets rid of those irrelative attribute to decision information and simplifies input variable so as to shorten the search space of neural network and improve the prediction performance.
url	https://www.cetjournal.it/index.php/cet/article/view/3934
work_keys_str_mv	AT hhwang applicationresearchondataminingandartificialintelligencetheoryinshorttermpowerloadforecasting
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Application Research on Data Mining and Artificial Intelligence Theory in Short-Term Power Load Forecasting

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