Physics-informed graph model flags leapfrog tripping risk in simulated PV plants
A physics-informed graph neural network classified simulated collector-line cascading-trip risk with 0.972 accuracy and 0.91 recall for high-risk events in ...
A physics-informed graph neural network classified simulated collector-line cascading-trip risk with 0.972 accuracy and 0.91 recall for high-risk events in ...
A review of electrolyzer performance, hydrogen-valley deployment and certification finds that green hydrogen viability depends on matching technology, infrastructure and ...
A benchmark study found that an AI service hub combining sensor, text and visual data achieved high fault-detection and maintenance ...
A comprehensive review highlights the development of tri-functional electrocatalysts that bridge zinc-air batteries and water splitting, addressing the gap between ...
A case study of one Irish dairy-beef finishing farm found an edible energy return of 0.08:1, with buildings, machinery and ...
A systems-oriented review reports that AI is applied across solar, hydropower and wind systems, with deep learning prominent in forecasting ...
A Shiraz factory-scale simulation found that power-to-hydrogen reduced unused renewable electricity from 37.1% to 9.36% while producing 3,869 kilograms of ...
A 2000–2023 BRIC panel study used CS-ARDL modeling to estimate time-varying associations among FDI, renewable energy consumption, energy intensity and ...
A QARDL analysis of Nigerian annual data from 1990 to 2023 found associations between green innovation and renewable electricity and ...
Interviews with seven selected stakeholders identified fragmented implementation, uneven capacity building, weak institutional partnerships and peripheral community engagement in South ...
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© 2025 Scienmag - Science Magazine