To address these challenges, this paper proposes a novel energy electrical equipment fault diagnosis method based on kernel Mel-scale frequency cepstral coefficients-Bayesian optimization algorithm-convolutional neural network-one dimensional (KMFCC-BOA-CNN-1D).
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Abstract This study proposes a multi-objective optimization model for a grid-connected wind-solar-hydro system in wastewater treatment plants, addressing trade-offs. Crude oil, along with toxic and harmful contaminants are highly concentrated in.
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The study presents a multi-stage sorption-based system coupled with thermal energy storage that efficiently harvests water from air, achieving high yields and cost-effectiveness,.
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