KPI prediction, which is categorized under time series data modeling, serves as a crucial area of investigation within the realm of complex industrial processes. This field focuses on forecasting key performance indicators that are pivotal for assessing the operational efficiency and productivity of industries. By leveraging historical data trends, KPI prediction aids in optimizing process controls and decision-making strategies, thus enhancing overall performance and competitive edge.

DOI Link: 
10.21227/a2bq-ts45
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[1] Hu Zhang, "KPI prediction dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/a2bq-ts45. Accessed: Jan. 13, 2025.
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doi = {10.21227/a2bq-ts45},
url = {http://dx.doi.org/10.21227/a2bq-ts45},
author = {Hu Zhang },
publisher = {IEEE Dataport},
title = {KPI prediction dataset},
year = {2024} }
TY - DATA
T1 - KPI prediction dataset
AU - Hu Zhang
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Hu Zhang. (2024). KPI prediction dataset. IEEE Dataport. http://dx.doi.org/10.21227/a2bq-ts45
Hu Zhang, 2024. KPI prediction dataset. Available at: http://dx.doi.org/10.21227/a2bq-ts45.
Hu Zhang. (2024). "KPI prediction dataset." Web.
1. Hu Zhang. KPI prediction dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/a2bq-ts45
Hu Zhang. "KPI prediction dataset." doi: 10.21227/a2bq-ts45