Big Data Management and Application Research in Power Load Forecasting and Power Transmission and Transformation Equipment Evaluation

Abstract

With the rapid development of the power grid, traditional power load forecasting and evaluation methods for power transmission and transformation equipment have become increasingly inapplicable. Accurate power load forecasting and evaluation of power transmission and transformation equipment are very important for grid planning and upgrading the quality of modern power systems. With the continuous emergence of new technologies, big data on smart grid is less systematic or practical. In this study, we propose framework for building a big data platform in the power grid industry, and elaborate the method to use big data to predict the level of power load and assess the status of power transmission and transformation equipment. Then, we deploy a practical exploration of big data application in the power grid industry. The proposed big data methods for forecasting and assessment on power grid revealed satisfactory results in practical application.