The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the power plant was set to work with 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.
A combined cycle power plant (CCPP) is composed of gas turbines (GT), steam turbines (ST) and heat recovery steam generators. In a CCPP, the electricity is generated by gas and steam turbines, which are combined in one cycle, and is transferred from one turbine to another. While the Vacuum is colected from and has effect on the Steam Turbine, he other three of the ambient variables effect the GT performance.
For comparability with our baseline studies, and to allow 5x2 fold statistical tests be carried out, we provide the data shuffled five times. For each shuffling 2-fold CV is carried out and the resulting 10 measurements are used for statistical testing.
We provide the data both in .ods and in .xlsx formats.
Relevant Papers to cite:
Pınar Tüfekci, Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods, International Journal of Electrical Power & Energy Systems, Volume 60, September 2014, Pages 126-140, ISSN 0142-0615, http://dx.doi.org/10.1016/j.ijepes.2014.02.027.
(http://www.sciencedirect.com/science/article/pii/S0142061514000908)
Heysem Kaya, Pınar Tüfekci , Sadık Fikret Gürgen: Local and Global Learning Methods for Predicting Power of a Combined Gas & Steam Turbine, Proceedings of the International Conference on Emerging Trends in Computer and Electronics Engineering ICETCEE 2012, pp. 13-18 (Mar. 2012, Dubai)
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公开数据集.zip (30个子文件)
UCI-公开数据集
airfoil_self_noise(翼型白噪声)
airfoil self-noise.xlsx 55KB
描述.txt 1KB
森林火灾
forestfires.names 3KB
forestfires.csv 25KB
wine(葡萄酒)
winequality-white.csv 258KB
winequality.names 3KB
winequality-red.csv 96KB
鲍鱼数据集
Abalone.xlsx 203KB
联合循环电厂数据集
CCPP
Readme.txt 2KB
Folds5x2_pp.xlsx 1.94MB
Folds5x2_pp.ods 1.64MB
CCPP.zip 3.5MB
能效数据集
ENB2012_data.xlsx 74KB
nengxiaoshujuji.xlsx 39KB
能效数据集.xlsx 55KB
Iris
Iris.xlsx 14KB
Concrete(混凝土)
Concrete_Data.xls 122KB
Concrete_Readme.txt 4KB
slump
slump.xlsx 16KB
新建文本文档.txt 5KB
slump_test.data 5KB
slump_test.names 3KB
高炉数据(周平老师)
data.xlsx 43KB
TestDy3.xls 19KB
TrainDx2.xls 49KB
TestDx3.xls 25KB
TrianDy2.xls 28KB
混凝土坍落度测试数据集
slump_test.xlsx 16KB
slump_test.data 5KB
slump_test.names 3KB
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