Enabling peer-to-peer energy trading by leveraging prosumer analytics


Small energy actors –especially residential end-users– with distributed energy generation and storage units connected behind the meter (prosumers) are at the centre of the energy transition. Much research has focused on their engagement, either in terms of directly controlling their consumption or by exposing them to time-varying price signals reflecting power system or wholesale electricity market conditions. However, centralized ways of stimulating prosumers’ activation have not been proven entirely successful due to the compromise in the end-users’ comfort and the limited economic incentives provided. Aiming at increasing the engagement of small prosumers, P2P-TALES proposes the use data-driven knowledge extraction techniques in order to identify clusters of consumers with similar or dissimilar energy-related behavioural characteristics, preferences and flexibility potential and create incentive schemes that reflect their financial and non-monetary motives. Moreover, based on prosumer analytics, P2P-TALES aspires to address several challenges related to distributed transaction systems through which energy is traded in a peer-to-peer (P2P) fashion. More specifically, the development of trading protocols and agents to improve sustainability and maximize value by promoting synergies between prosumers on the basis of complementary objectives or alternative asset ownership models based on the principles of sharing economy will be investigated. Finally, P2P-TALES will attempt to map the cyber P2P transactions onto the physical distribution system and the actual flows of power, aiming at assessing the operational and reliability impacts. This will result in enhanced decision making for distribution network operators (DNO), allowing the procurement of system services from prosumers preventively or in real-time.


Project number


Main applicant

Prof. dr. ir. P.M.J. van den Hof

Affiliated with

Technische Universiteit Eindhoven, Faculteit Electrical Engineering, Control Systems (CS)


01/01/2018 to 31/12/2021