This study investigates the key issues for hybrid modelling: coupling compatibility and long-term 10 integration stability, and a residual convolutional neural network is employed to approximate the Rapid Radiative Transfer Model for General Circulation Models within the global operational system of China Meteorological Administration.
Global solar radiation is a fundamental component of the Earth's energy balance and plays a critical role in integrating renewable energy into electrical systems. However, its pronounced variability, particularly in high-altitude regions, constrains energy stability and complicates planning processes. This study evalua...
Milton Edward Humpiri-Flores, David Mamani-Pari, Danny Lévano et al.· Frontiers in Artificial Inte...· 0 citations
The results have shown that it is possible to model nonlinear temporal dependencies in geomagnetic observations using recurrent architectures, and the use of traditional baselines along with repeated-seeds and ablation tests makes the evaluation more thorough.
P. Bhandari, Subarna Shakya· Journal of Trends in Compute...· 0 citations
Accurate estimation of the α0-factor, representing oxygen transfer efficiency under non-steady-state conditions, is critical for energy-efficient aeration in wastewater treatment. This study presents four novel empirical equations, derived from three years of full-scale data across four WWTPs. The proposed formulations...
Sadra Shadkani, A. T. Fisk, A. Saber· Bioresource Technology· 0 citations
While SIRANet enables near–real‐time, high‐resolution forecasting, its performance remains conditioned by the representativeness of the SIRANE training simulations and tends to underestimate the highest concentrations in traffic‐dominated hotspots due to the smoothing of sharp spatial gradients inherent to the current...
Maxime Beauchamp, Vincent Lécluse, Nicolas Thorr et al.· Journal of Geophysical Resea...· 0 citations
A long short-term memory (LSTM)-based framework for global three-dimensional electron density (Ne) modeling, using long-term multi-GNSS radio occultation observations with solar and geomagnetic activity indices is developed, with LSTM yielding the lowest overall error.
Yu-Tian Chen, Chang-Zhi Zhai, Dongjie Yue et al.· Astrophysics and Space Scien...· 0 citations
A systematic comparative evaluation of machine-learning and deep-learning approaches for electrical grid stability prediction using the Electrical Grid Stability Simulated Dataset, comprising 10,000 observations from a decentralized four-node star-topology power system shows that hybrid ensemble learning combined with...
N. Subramanian, Albert Alexander Stonier· Frontiers in Artificial Inte...· 0 citations
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