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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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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
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creator	Dalamagkas, Christos Georgakis, Angelos Papadopoulos, Ioannis Hrissagis-Chrysagis, Kostas Papadakis, George
description	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.
doi_str_mv	10.1109/ICDEW61823.2024.00021
format	conference_proceeding
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subjects	data analytics Digital transformation energy sector Europe machine learning Power industry Renewable energy sources Thermal management time series Time series analysis Transforms
title	Time Series Problems in the Energy Sector
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