GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting
نویسندگان
چکیده
منابع مشابه
Correlation and instance based feature selection for electricity load forecasting
Appropriate feature (variable) selection is crucial for accurate forecasting. In this paper we consider the task of forecasting the future electricity load from a time series of previous electricity loads, recorded every 5 minutes. We propose a two-step approach that identifies a set of candidate features based on the data characteristics and then selects a subset of them using correlation and ...
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ژورنال
عنوان ژورنال: Sustainability
سال: 2018
ISSN: 2071-1050
DOI: 10.3390/su10010217