Abstract: Creating real-time indoor environment digital twins (DTs) is challenging when integrating diverse datasets with Building Information Models (BIMs). This study compares four machine learning ...

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 ...

Abstract: This paper introduces a distributed finite-time optimization approach for convex optimization with time-varying cost function in multi-agent systems under an undirected and connected ...