Application of Intelligent Control Technology in Power Grid Dispatch Optimization
This paper expounds the requirements and technical difficulties of intelligent grid scheduling optimization,analyzes the application of data-driven prediction technology,intelligent optimization algorithms,and machine learning assisted decision-making in scheduling optimization.It explores key implementations of scheduling optimization,including the implementation of load forecasting systems based on deep learning,the application of reinforcement learning in real-time scheduling,and optimization algorithms for distributed energy collaborative scheduling.
intelligent control technologypower dispatch optimizationdeep learningreinforcement learning
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