Egyptian researchers have built a MATLAB simulation framework combining LSTM-based water demand prediction with solar energy management, achieving simulated water ...
A hybrid feature selection framework combining correlation analysis, PCA, neural sensitivity testing, and SHAP/LIME explainability reveals that average battery voltage ...
Researchers have developed CHS-Net, a hybrid deep learning architecture that sets a new benchmark for segmenting cracks, erosion, and delamination ...
Researchers have developed a CNN-BiLSTM-Attention hybrid neural network optimized by an improved antlion algorithm that diagnoses and predicts transformer faults ...
Researchers propose combining photovoltaic panels with metal-absorbing plants such as giant reed, vetiver grass, and industrial hemp to remediate contaminated ...
A new European energy system model shows that combining stronger EU carbon pricing with a temporary bonus-malus subsidy is the ...
A new neural-augmented predictive controller slashes computation time and improves power quality in four-level back-to-back converters for grid-connected PMSG wind ...
A detailed model including snow accumulation, melting and tilt angle projects that Swedish photovoltaic generation will rise about 5 percent ...
A new 25-year analysis of all EU-27 member states shows that circular economy practices and green innovation cut carbon emissions ...
A new study of Chennai's Kodungaiyur and Perungudi dumpsites finds that incineration could more than double the energy recoverable from ...
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