The dataset contains IEEE 30-bus, 118-bus, 300-bus dataset we generated for learning for unit commitment. The dataset consists of data from both normal and extended time scales, with a total time span of one year. A data point is defined as the load demand for each period and the on/off status of the units at that moment. This dataset can be used to train a neural network to learn the mapping from load demand information to the on/off status of the units.

DOI Link: 
10.21227/ggba-yy81
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Dataset Files

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[1] Zhibo Xu, "IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/ggba-yy81. Accessed: Dec. 26, 2024.
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doi = {10.21227/ggba-yy81},
url = {http://dx.doi.org/10.21227/ggba-yy81},
author = {Zhibo Xu },
publisher = {IEEE Dataport},
title = {IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment},
year = {2024} }
TY - DATA
T1 - IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment
AU - Zhibo Xu
PY - 2024
PB - IEEE Dataport
UR - 10.21227/ggba-yy81
ER -
Zhibo Xu. (2024). IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment. IEEE Dataport. http://dx.doi.org/10.21227/ggba-yy81
Zhibo Xu, 2024. IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment. Available at: http://dx.doi.org/10.21227/ggba-yy81.
Zhibo Xu. (2024). "IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment." Web.
1. Zhibo Xu. IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/ggba-yy81
Zhibo Xu. "IEEE 30-bus,118-bus,300-bus dataset for learning for unit commitment." doi: 10.21227/ggba-yy81