Design of a dynamic Local Energy Market for Smart Grids

With the increase of distributed energy resources, including generation and storage, there is a need for models that enable the efficient integration of these resources into the electricity grid. This research presents an approach based on a structured methodology that uses advanced technologies, such as geographic information systems and machine learning, to improve the accuracy of energy resource predictions and facilitate transparent transactions between different actors. In addition, this sort of Local Energy Market adapts dynamically to changing market conditions and technical constraints in the grid, ensuring efficient energy management at the local level.