Using Machine Learning to Optimize the Scale of Fuel Production
As we continue to strive for better, more efficient ways to create energy, a new method of optimizing the scale of production of fuel may soon be available. A team of researchers from the University of Pennsylvania have recently developed a technique that could help reduce the cost of producing fuel while avoiding costly and time-consuming trial and error methods. This method uses a form of Artificial Intelligence (AI) to determine the optimal scale of production, taking into account various factors such as the price of raw materials, the cost of labor, and the size of the production facility. According to the researchers, this method can potentially reduce the cost of production by up to 20%. This could be a major breakthrough for the energy industry, helping to make fuel production more cost-efficient and sustainable.
source: Phys.org