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Prediction of the Remaining Useful Life of Lithium–Ion Batteries Based on Mode Decomposition and ED-LSTM
Published 2025-02-01“…Using CEEMDAN, the battery capacity data were decomposed to obtain intrinsic mode functions (IMFs), and the weight of each IMF was obtained via the random forest (RF) algorithm. The LSTM neural network was used, the encoder–decoder (ED) structure was introduced, the multi-head attention (MHA) mechanism was used to construct a network model, and the particle swarm optimization (PSO) algorithm was used to optimize the model parameters. …”
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A novel metaheuristic optimizer GPSed via artificial intelligence for reliable economic dispatch
Published 2025-06-01“…The performance of the proposed technique is evaluated using four different meta-heuristic optimizers: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Teaching–Learning-Based Optimization (TLBO), and Artificial Gorilla Troops Optimization (AGTO). …”
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Power short-term load forecasting based on big data and optimization neural network
Published 2016-10-01Get full text
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Event-Triggered Fault-Tolerant ADRC for Variable-Load Quadrotor with Prescribed Performance
Published 2025-06-01Get full text
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Competitive Elimination Improved Differential Evolution for Wind Farm Layout Optimization Problems
Published 2024-11-01Get full text
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A State-of-the-Art Fractional Order-Driven Differential Evolution for Wind Farm Layout Optimization
Published 2025-01-01Get full text
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