Combined Cycle Power Plant
Donated on 3/25/2014
The dataset contains 9568 data points collected from a Combined Cycle Power Plant over 6 years (2006-2011), when the plant was set to work with full load.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
9568
# Features
-
Dataset Information
Additional Information
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.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Demographic | Description | Units | Missing Values |
|---|---|---|---|---|---|---|
| no | ||||||
| no | ||||||
| no | ||||||
| no |
0 to 4 of 4
Additional Variable Information
Features consist of hourly average ambient variables - Temperature (T) in the range 1.81°C and 37.11°C, - Ambient Pressure (AP) in the range 992.89-1033.30 milibar, - Relative Humidity (RH) in the range 25.56% to 100.16% - Exhaust Vacuum (V) in teh range 25.36-81.56 cm Hg - Net hourly electrical energy output (EP) 420.26-495.76 MW The averages are taken from various sensors located around the plant that record the ambient variables every second. The variables are given without normalization.
Tfekci,Pnar and Kaya,Heysem. (2014). Combined Cycle Power Plant. UCI Machine Learning Repository. https://doi.org/10.24432/C5002N.
@misc{misc_combined_cycle_power_plant_294,
author = {Tfekci,Pnar and Kaya,Heysem},
title = {{Combined Cycle Power Plant}},
year = {2014},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C5002N}
}pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset combined_cycle_power_plant = fetch_ucirepo(id=294) # data (as pandas dataframes) X = combined_cycle_power_plant.data.features y = combined_cycle_power_plant.data.targets # metadata print(combined_cycle_power_plant.metadata) # variable information print(combined_cycle_power_plant.variables)
Creators
Pnar Tfekci
Heysem Kaya
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.