Abstract: This study hopes to improve the accuracy and robustness of power load forecasting in smart grids. A load forecasting optimization model based on particle swarm optimization (PSO) is built.
AI improves renewable energy forecasting accuracy by up to 33%, helping grid operators better integrate solar and wind resources. Predictive maintenance powered by AI reduces equipment downtime by ...
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