Time Series Problems in the Energy Sector

Public Power Corporation (PPC) is the leading South East European electric utility, with its activities covering all aspects of the energy sector: from coal mining and the management of thermal power plants to renewables and e-mobility. PPC is implementing a major digital transformation plan, which...

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Bibliographic Details
Main Authors: Dalamagkas, Christos, Georgakis, Angelos, Papadopoulos, Ioannis, Hrissagis-Chrysagis, Kostas, Papadakis, George
Format: Conference Proceeding
Language:English
Subjects:
data analytics
Digital transformation
energy sector
Europe
machine learning
Power industry
Renewable energy sources
Thermal management
time series
Time series analysis
Transforms
Online Access:Request full text
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Summary:Public Power Corporation (PPC) is the leading South East European electric utility, with its activities covering all aspects of the energy sector: from coal mining and the management of thermal power plants to renewables and e-mobility. PPC is implementing a major digital transformation plan, which aims to transform it into a data-driven company, thus improving the efficiency and effectiveness of its operations. To this end, PPC's R&D department is working on addressing numerous data analytics tasks, which typically involve (multivariate) time series. In this work, we describe these tasks, stressing their business importance and criticality. We also briefly describe our current solutions and propose directions for future improvements.
ISSN:2473-3490
DOI:10.1109/ICDEW61823.2024.00021