A high-dimensional anomaly detection model, MSFO-EIF, integrating multi-strategy feature optimization with rough set modeling is proposed, outperforms other anomaly detection models, including KNN, LOF, IBBA-EIF, and RRSM, on multiple high-dimensional datasets.
Dongfang Wu, Jiao-Jiao Deng, Zhiwei Ye et al.· Computers, Materials & C...· 0 citations
A safety-constrained deep reinforcement learning framework for source–load–storage coordinated operation of a grid-connected green data center and shows how separating reward learning, cumulative safety pricing, and one-step engineering projection changes low-carbon dispatch within the specified model.
Zheng Shi, Min Xu, Ziyu Fu et al.· Energies· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.