Modeling Collaborative Behaviors in Energy Ecosystems

The notions of a collaborative virtual power plant ecosystem (CVPP-E) and cognitive household digital twin (CHDT) have been proposed as contributions to the efficient organization management households within renewable energy communities (RECs). CHDTs can be modeled software agents that are designed possess some capabilities, enabling them make autonomous decisions on behalf their human owners based value system physical twin. Due decision-making these exhibit behavioral attributes, such engaging in diverse actions aimed at achieving common goals. These attributes directed promotion sustainable consumption ecosystem. Along this line, work demonstrates various practices include: (1) roles played by CVPP manager (a) opportunity seeking goal formulation, (b) proposition/invitation form coalition or organization, (c) formation dissolution coalitions; (2) which include acceptance decline an invitation (i) delegation/non-delegation (ii) compatibility/non-compatibility, sharing resources. This study adopts simulation technique involves integration multiple methods dynamics, agent-based, discrete event techniques single environment. outcome confirms potential adding capabilities further shows could certain become suitable rational households.