The growing diversification of energy sources and the global demand for renewable alternatives have intensified investments in distributed energy generation. In Brazil, this movement is particularly relevant due to the country’s high solar irradiance and its extensive territory with strong agricultural and livestock activities, which support significant biomass production. Despite this potential, managing energy consumption efficiently in such hybrid systems remains a challenge. This work addresses this issue by proposing an approach modeled as a Bin Packing problem, aiming to optimize energy consumption scheduling according to generation conditions. The methodology involves adapting and applying well-known heuristics to allocate energy demands more effectively in scenarios combining photovoltaic and biomass-based generation. Several strategies were tested and compared across simulated scenarios, revealing the strengths and limitations of each heuristic in maximizing energy use and reducing potential waste.