Big data, Machine learning & Blockchain for electric power industry
For the H2020 EU-SysFlex project whose overall objective is the integration of a 50% share of renewable energy in the electricity system, we are developing big data, machine learning, blockchain and data exchange applications.
The European electricity landscape is currently facing deep changes:
re-organization of the electricity market, the arrival of new players, the introduction of decentralized and unpredictable sources of production (e.g. wind or solar farms),… These facts represent actual technical and process challenges for all the players in the electricity system and especially for electricity transmission and distribution operators.
One of the solutions to meet these challenges is the smart grid concept, which consists in the widespread deployment of information and communication technologies in the electrical system. Smart grids themselves face many challenges, in particular the processing of massive data, the increasing complexity of the data, the difficulty of making systems interoperable, the protection of personal data.
In this context of smart grids, AKKA Research carries out
- the definition of a big data architecture allowing e.g. the exchange, the processing and the storage of massive amounts of data produced by electricity grid actors.
- the implementation of machine learning algorithms to predict, for example: the consumption or production of renewable energy.
- the development of a business application for the market of flexibility services in which will be used:
- components of big data frameworks (Spark, TensorFlow)
- Web 2.0 ergonomics based on the Vue.js framework
- data exchanges based on web services and business
- data models
- techniques for anonymizing personal data
- a demonstrator of blockchain technologies and smart contracts.
To undertake these activities, AKKA Research collaborates with several partners such as
- energy carriers (TSO) such as Elering in Estonia or PSE in Poland
- cyber-security companies: Guard time, Cybernetical
- universities (University of Tartu in Estonia) or research centers (EDF R&D in France)
Big data & Machine learning for operational and strategic decisions Blockchain & smart contracts to decentralize IT architectures Data exchange models for system interoperability.