Abstract
The energy Internet operation platform provides market entities such as energy users, energy enterprises, suppliers, and governments with the ability to interact, transact, and manage various operations. Owing to the large number of platform users, complex businesses, and large amounts of data-mining tasks, it is necessary to solve the problems afflicting platform task scheduling and the provision of simultaneous access to a large number of users. This study examines the two core technologies of platform task scheduling and multiuser concurrent processing, proposing a distributed task- scheduling method and a technical implementation scheme based on the particle swarm optimization algorithm, and presents a systematic solution in concurrent processing for massive user numbers. Based on the results of this study, the energy internet operation platform can effectively deal with the concurrent access of tens of millions of users and complex task-scheduling problems.
Published Version
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