8 citations · 9 across the 3 of their papers we have counts for
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cs.LG2025★ 1 cited
PINN-DT: Optimizing Energy Consumption in Smart Building Using Hybrid Physics-Informed Neural Networks and Digital Twin Framework with Blockchain Security
Hajar Kazemi Naeini, Roya Shomali, Abolhassan Pishahang +5
The advancement of smart grid technologies necessitates the integration of cutting-edge computational methods to enhance predictive energy optimization. This study proposes a multi…
cs.LG2023★ 8 cited
Intelligent Energy Management with IoT Framework in Smart Cities Using Intelligent Analysis: An Application of Machine Learning Methods for Complex Networks and Systems
Maryam Nikpour, Parisa Behvand Yousefi, Hadi Jafarzadeh +5
This study confronts the growing challenges of energy consumption and the depletion of energy resources, particularly in the context of smart buildings. As the demand for energy in…