This research presents a novel model for optimizing load and energy management in active distribution networks with prosumer (producer-consumer) features. The proposed model aims to simultaneously reduce costs and energy losses, specifically focusing on optimizing electricity generation costs by prosumers, energy losses in the network, load reduction, and costs associated with renewable resource curtailment. Simulation results demonstrate that the proposed model reduces energy losses by up to 14.5% and improves network voltage quality. Additionally, peak loads are reduced by 10%, and energy costs are lowered by 5%. By employing demand management strategies, the model establishes optimal coordination between energy production and consumption in the grid and creates improved conditions for selling electricity generated by prosumers, resulting in an 8% increase in their profitability. The optimization model effectively solves mixed-integer and complex optimization problems using advanced tree-search algorithms, such as branch and bound, enhancing solution speed and accuracy. These results highlight the model’s positive impact on improving the efficiency, stability, and productivity of active distribution networks, as well as its high potential for enhancing energy resource management in smart grids.