Research is being conducted on energy consumption forecasting in logistics, considering environmental and operational constraints, with a focus on using advanced technologies such as ai and optimization techniques. The work appears to be part of a broader effort to achieve climate and sustainability targets through the use of ai-driven transformation and optimization of various systems, including supply chains and energy management. The specific applications and methods being explored include the use of ft-transformer architecture, multi-objective optimization, and other techniques to improve resource efficiency and reduce environmental impact.