Hybrid Collaborative Networks in Energy Ecosystems

Human-AI collaboration in renewable energy ecosystems can revolutionize the way communities achieve sustainable and efficient energy solutions. This synergistic approach combines the analytical prowess of AI with the expertise of human decision-making, fostering a comprehensive strategy for energy management. AI excels in tasks that are repetitive and mundane, while humans excel at decision-making tasks that reflect their preferences and community dynamics, ensuring that AI-driven solutions are aligned with societal values. This collaborative approach, representing a case of hybrid collaborative network, can lead to optimizing energy use, reducing dependency on the grid, and empowering communities to lead the energy transition, fostering more resilient and sustainable energy ecosystems. In this context, we explore possibilities of achieving “meaningful” energy conservation practices in a Collaborative Energy Ecosystem (CEE) using human-AI collaboration. As such, we expand and discuss the CEE model from the perspective of hybrid human-AI collaboration, present pilot implementation results, and discuss future research directions.