Hands-On Artificial Intelligence for IoT
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The combined cycle power plant dataset

This dataset contains 9,568 data points collected from a combined cycle power plant (CCPP) in a course of six years (2006-2011). CCPP uses two turbines to generate power, the gas turbine and the steam turbine. There're three main components of the CCPP plant: gas turbine, heat recovery system, and steam turbine. The dataset, available at UCI ML (http://archive.ics.uci.edu/ml/datasets/combined+cycle+power+plant), was collected by Pinar Tufekci from Namik Kemal University and Heysem Kaya from Bogazici University. The data consists of four features determining the average ambient variables. The averages are taken from various sensors located around the plant that record ambient variables per second. The aim is to predict the net hourly electrical energy output. The data is available in both xls and ods formats. 

The features in the dataset are as follows:

  • The Ambient Temperature (AT) is in the range 1.81°C and 37.11°C
  • The Ambient Pressure (AP) is in the range 992.89—1033.30 millibar
  • Relative Humidity (RH) is in the range 25.56% to 100.16%
  • Exhaust Vacuum (V) is in the range 25.36 to 81.56 cm Hg
  • Net hourly electrical energy output (PE) is in the range 420.26 to 495.76 MW
Further details about the data and the problem can be read from the following: 
  • Pınar Tüfekci, Prediction of full load electrical power output of a baseload 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.
  • Heysem Kaya, Pınar Tüfekci, Sadık Fikret Gürgen: Local and GlobalLearning 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).