Unmanned Aerial Vehicles (UAVs) are becoming vital in many fields like robotics and aerospace. UAVs have many applications, ranging from delivering goods in disaster areas to agriculture. To make sure UAVs complete their mission efficiently, path planning becomes an important problem. The traditional models of path pla...
A Proximal Policy Optimization-based deep reinforcement learning framework for smart home energy management that learns adaptive scheduling decisions using real-time PV output, electricity price, battery state of charge, EV charging status, and appliance operating conditions is proposed.
Chittemma Yerra, Kiran Teeparthi, R. Naik et al.· Energies· 0 citations
The proposed Cluster Aggregated GAN framework is established, a hybrid generative approach that routes each appliance to a specialized branch based on its behavioral characteristics that consistently outperforms baseline methods across metrics measuring realism, diversity, and training stability.
Zikun Guo, A. Adedigba, Rammohan Mallipeddi· arXiv.org· 1 citation
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