most citedClimate Aware Deep Neural Networks (CADNN) for Wind Power Simulation

2 citations · 2 across the 2 of their papers we have counts for

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cs.LG2025

RE-LLM: Integrating Large Language Models into Renewable Energy Systems

Ali Forootani, Mohammad Sadr, Danial Esmaeili Aliabadi +1

Energy system models are increasingly employed to guide long-term planning in multi-sectoral environments where decisions span electricity, heat, transport, land use, and industry.…

cs.LG2024★ 2 cited

Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation

Ali Forootani, Danial Esmaeili Aliabadi, Daniela Thraen

Wind power forecasting plays a critical role in modern energy systems, facilitating the integration of renewable energy sources into the power grid. Accurate prediction of wind ene…