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 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.公共电力公司（Public Power Corporation，简称PPC）是东南欧领先的电力公用事业企业，业务覆盖能源领域全链条：从煤矿开采、火力发电厂运营管理，到可再生能源开发与电动出行服务。该公司正在推进一项重大数字化转型计划，旨在将自身打造为数据驱动型企业，以此提升运营效率与效益。为此，PPC的研发部门正致力于处理诸多数据分析任务，这些任务通常涉及（多变量）时间序列数据。本文中，我们将对这些任务进行阐述，并着重说明其业务重要性与关键性。此外，我们还将简要介绍现有解决方案，并对未来的改进方向提出建议。