In the power system, load regulation refers to maintaining the stability and optimal operation of the system by adjusting the power consumption. Traditional load control methods usually rely on manual analysis and decision-making and have many limitations and shortcomings. This paper proposes a load regulation method based on AI agent and constructs the implementation framework of AI agent and cloud platform cooperation. In this paper, the concept and background of AI under intelligent power consumption are briefly described. Secondly, a stochastic forest algorithm based on time-domain feature expansion is proposed to realize the evaluation and analysis of load operation status and provide a basis for decision-making of load regulation. Carry out data analysis and calculation on the cloud platform based on the evaluation results to achieve accurate load control. Finally, the simulation experiment verifies that the distributed load regulation optimization method based on artificial intelligence can effectively solve the problem of power system load regulation.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.