文章基本信息

标题：Temperature Control by Its Forecasting Applying Score Fusion for Sustainable Development
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作者：Hernández-Travieso, José Gustavo ; Herrera-Jiménez, Antonio L. ; Travieso-González, Carlos M. 等
期刊名称：Sustainability
印刷版ISSN：2071-1050
出版年度：2017
卷号：9
期号：2
页码：1-17
出版社：MDPI, Open Access Journal
摘要：Temperature control and its prediction has turned into a research challenge for the knowledge of the planet and its effects on different human activities and this will assure, in conjunction with energy efficiency, a sustainable development reducing CO 2 emissions and fuel consumption. This work tries to offer a practical solution to temperature forecast and control, which has been traditionally carried out by specialized institutes. For the accomplishment of temperature estimation, a score fusion block based on Artificial Neural Networks was used. The dataset is composed by data from a meteorological station, using 20,000 temperature values and 10,000 samples of several meteorological parameters. Thus, the complexity of the traditional forecasting models is resolved. As a result, a practical system has been obtained, reaching a mean squared error of 0.136 °C for short period of time prediction and 5 °C for large period of time prediction.
关键词：temperature forecasting; sustainable development; artificial neural network; score fusion; prediction system