Electricity is the most widely used energy source in the white goods production, directly impacting costs and sustainability. Accurate electricity forecasts are essential to ensure the security of electricity supply. The white goods industry is vital for both the Turkish and global economies, and achieving efficiency in this sector is of paramount importance. Given Türkiye's strong position in white goods production, efficient energy management plays a critical role in sustainability. The effective use of a valuable resource like electricity is vital for both reducing costs and minimizing environmental impact. Digitalization in the manufacturing sector increases efficiency while also reducing costs. Analysing data collected from machines on digital platforms helps businesses manage and optimize their production processes more effectively. Planning energy use with accurate estimates provides businesses with both sustainability and cost advantages. Digitalization also offers opportunities for monitoring machine performance, detecting faults in advance, and developing planned maintenance strategies. This study involves forecasting models based on the electricity consumption of machines used in the ovens of a white goods manufacturing. Different forecasting methods were applied to a list of electricity energy data consumed by machine over a specific time period, and energy consumption was predicted for the next period. This allowed for cost planning and improved components of energy management. Briefly, digitalization has an important role in sustainability and market dominance by enabling the efficient administration of electrical energy in the white goods manufacturing. Because of electrical energy is one of the precious inputs and limited, the most dependable forecasting models have been analysed to lead energy consumption and distribution decision-making processes.