Power user behavior prediction model based on intelligent prediction

This article comprehensively uses data isomorphism screening strategy, data difference value upgrading algorithm, multi-column neural network algorithm, etc., based on limited and incomplete data, using the uplink and downlink peak and valley measurement data provided by the measurement nodes of the entire network to achieve Design of self-diagnostic system for electricity consumption information collection system. Results: In terms of metering system failures, power system changes, power theft behavior impact and total sensitivity, the earlier methods of the innovative system achieved 14.3%, 83.7%, 36.3%, and 34.8% increase in computing performance.