A comprehensive framework for data management and AI-driven analytics in the energy sector

Engineering notes

Engineering notes will be added by the Power for Solar editorial team.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为光伏效率、钙钛矿太阳能电池、储能技术、太阳能热利用、BIPV、并网技术等高价值论文补充中文说明。

Original abstract

The notion of "Energy Data Spaces" is gaining traction as a revolutionary framework within the energy industry, promoting the seamless integration, sharing, and analysis of data among various stakeholders. Endorsed by the European Commission Energy Data Spaces are designed to establish a cohesive digital ecosystem where data from diverse sources, including energy producers, consumers, and grid operators, can be collaboratively leveraged to streamline energy management and boost operational efficiency. This paper delves into the core principles, structural design, and prospective applications of Energy Data Spaces, emphasizing their pivotal role in fostering innovation and sustainability in the energy sector. We present a reference implementation of an Energy Data Space, highlighting the key features that must be addressed, such as data privacy, security, and standardization challenges. Our findings demonstrate that this framework successfully enables secure, interoperable data exchange across heterogeneous systems, as validated through our collaboration with the Electricity Authority of Cyprus (EAC). The results indicate that providing stakeholders throughout the energy data value chain with an Analytics Catalogue of adaptable AI services significantly optimizes grid operations and demand-side management.

Links and sources

• PDF from original source

Comments