Qiong Ning

Digital twin-driven smart city energy management systems: an integrated approach combining big data and machine learning

An end-to-end joint control framework driven by digital twin technology, combining deep feature extraction from big data with physical prior machine learning is proposed, which greatly broadens the theoretical control extreme bandwidth of the urban wide-area multi-source heterogeneous equipment cluster without overshoot collaborative operation.