CAJ | 학술논문

大数据、数据分析、数据科学，以及与数据相关的创新技术正广泛应用在各领域企业的技术研发和商业模式中。其中，基于大数据的应用和决策制定是能源企业的核心发展方向，大数据和数据分析也是智能电网的核心内容之一。广泛地说，数据及其相关应用是技术创新和附加价值的载体，对企业的战略发展以及创新产品和服务的开发至关重要。因此，大量数据的产生和新一代信息系统的开发为国际能源大舞台的参与者们提供了新的可能性和商机。文章首先概述大数据的相关背景，然后介绍法国电力集团研究院在大数据领域的相关研究工作，最后对下一步的研究工作进行了展望。
대수거、수거분석、수거과학，이급여수거상관적창신기술정엄범응용재각영역기업적기술연발화상업모식중。기중，기우대수거적응용화결책제정시능원기업적핵심발전방향，대수거화수거분석야시지능전망적핵심내용지일。엄범지설，수거급기상관응용시기술창신화부가개치적재체，대기업적전략발전이급창신산품화복무적개발지관중요。인차，대량수거적산생화신일대신식계통적개발위국제능원대무태적삼여자문제공료신적가능성화상궤。문장수선개술대수거적상관배경，연후개소법국전력집단연구원재대수거영역적상관연구공작，최후대하일보적연구공작진행료전망。
Big data, data analytics and data science are buzz words and lots of such projects are launched everywhere over the world including traditional companies, challenging their approaches and business models. Energy sector is undergoing a revolution leading utilities to data driven culture and transformation. Data analytics is becoming heart of smart grid projects and key factor for success. More generally, energy data analytics bring innovation and value, impacting utilities’ internal processes and helping them to build innovative and valuable services for their customers. Smart devices and industrial internet produce more and more data that big data technologies and tools allow to analyze, offering huge opportunities for utilities and actors of energy sector. In this paper some pieces of background context are given, and a few experiments achieved within R&D Division of EDF presented. Finally, some perspectives and further work are outlooked.