Under the background of the new era, technologies such as big data and cloud computing have gradually penetrated into the power industry, providing strong support for data collection and quality improvement of power energy. In this regard, this article uses a distributed architecture of electricity consumption information collection system to collect electricity consumption data and establish a big data cloud platform. On this basis, through BP neural network algorithm and other big data analysis methods, accurate load forecasting and environmental pollution prevention and control are implemented. , To improve the effectiveness of line loss management, and reasonable prospects for the future development of power energy big data, hoping to better play the value and role of power energy big data, and support the long-term stable development of the power industry to provide a certain reference and reference.
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