Electricity consumption forecasting in key industries is crucial for efficient power distribution and energy savings. A new method based on industry-specific electricity indexes was developed. By analyzing industry electricity consumption patterns and using a neural network with Boltzmann machine, the method achieved highly accurate predictions with an average error of only 1.4108%.