The file dataset.mat file contains sets of data from the Solar Cooling Plant (SCP) at the University of Seville. This data is used to train machine learning algorithm for the fault detection and prediction in the plant. The sets are the following:
SIMULATED DATA DATE: D/M/A
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D1_05_07_2016 % TRAIN %05/07/2016
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D2_25_08_2016 % CHECK %25/07/2016
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D3_31_08_2016 % TRAIN %31/07/2016
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D4_07_08_2016 % CHECK %07/08/2016
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D5_12_08_2016 % VALID %12/08/2016
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D6_15_08_2016 % CHECK %15/08/2016
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D7_27_08_2016 % TRAIN %27/08/2016
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D8_27_08_2016 % TRAIN %31/08/2016
REAL DATA
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R1_16_06_2009 % TRAIN %16/06/2009
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R2_29_06_2009 % CHECK %29/06/2009
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R3_06_07_2009 % TRAIN %06/07/2009
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R4_10_07_2009 % TRAIN %10/07/2009
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R5_17_08_2009 % VALID %17/08/2009
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R6_22_08_2009 % CHECK %22/08/2009
Each set contains samples per minute of the following variables:
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%column 1 Local Hour
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%column 2 Inlet Temperature
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%column 3 Outlet Temperature
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%column 4 Thermic Jump
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%column 5 Ambient Temperature
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%column 6 Irradiance W/m2
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%column 7 Effective Irradiance
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%column 8 Flow [m3/h]