Combined Cycle Power Plant Data Set, University of California, Irvine
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Open dataset from the Machine Learning Repository of Center for Machine Learning and Intelligent Systems at the University of California, Irvine. The dataset contains 9568 data points that have been collected from a Combined Cycle Power Plant over 6 years (2006-2011). During this period, the power plant was set to work with a full load. Features consist of hourly average ambient variables Temperature (T), Ambient Pressure (AP), Relative Humidity (RH), and Exhaust Vacuum (V) to predict the net hourly electrical energy output (EP) of the plant
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IEEE DataPort创建时间：
2020-12-17
