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841
A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework
Published 2025-08-01“…Firstly, to reduce the redundancy of the input for the prediction model and the computational time complexity, while enhancing the robustness and stability of the prediction model, nonlinear correlation search algorithm based on time window extending and time window shrinking strategies have been proposed. …”
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Enhancing Smart Microgrid Resilience and Virtual Power Plant Profitability Through Hybrid IGWO-PSO Optimization With a Three-Phase Bidding Strategy
Published 2025-01-01“…A hybrid improved grey wolf optimization-particle swarm optimization (IGWO-PSO) algorithm is developed to solve this complex optimization problem. …”
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845
A constructal theory framework for optimizing HRSG design: Enhancing thermal performance and cost-effectiveness
Published 2025-09-01“…Thermal efficiency improvements facilitate a 7.3-9.8% increase in steam production while maintaining optimal pinch point temperature differences of 10-12°C. …”
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846
Calculation method of line loss rate of substation areas considering tidal current variation with photovoltaic power generation access
Published 2025-04-01“…The proposed method employs an improved K-medoids clustering algorithm for substation area classification, optimized by an enhanced Cuckoo algorithm to minimize classification errors. …”
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A novel interval prediction method in wind speed based on deep learning and combination prediction
Published 2025-07-01Get full text
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849
Data-driven parameter optimization for bead geometry in wire arc additive manufacturing of 17-4 PH stainless steel
Published 2025-12-01“…Moreover, a genetic algorithm (GA) optimizes for bead uniformity and deposition efficiency. …”
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850
Double layered expansion planning for virtual power plants considering virtual energy storage systems
Published 2025-07-01“…To improve computational efficiency, a hybrid Grey Wolf Optimization algorithm is employed for model solution. …”
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851
ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile
Published 2025-08-01“…The least squares method exhibited errors of 9.59% (tubing) and 9.29% (annulus), while the ACO-NM hybrid optimization algorithm yielded relative errors of 1.87% and 3.31% in the tubing and annulus, respectively. …”
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852
Energy management for microgrids integrating renewable sources and hybrid electric vehicles
Published 2025-05-01“…It also incorporates demand response mechanisms for greater resilience. The Kepler Optimization Algorithm (KOA), inspired by Kepler's laws of planetary motion, is employed to tackle the nonlinear optimization problem. …”
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853
An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets
Published 2025-06-01“…To enhance the training and convergence of the GAN component, we integrate an improved chimp optimization algorithm (IChOA) for hyperparameter tuning and feature refinement. …”
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854
A simulation-driven computational framework for adaptive energy-efficient optimization in machine learning-based intrusion detection systems
Published 2025-04-01“…Extensive simulations conducted on the KDD 1999 dataset demonstrate that GreenMU achieves a detection accuracy close to 99%, significantly surpassing standard baseline models while reducing energy consumption by 31%. Furthermore, the framework improves computational efficiency, reducing processing time by 15% and making it highly effective for resource-constrained environments such as IoT and edge computing. …”
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855
Artificial intelligence-optimized shield parameters for soft ground tunneling in urban environment: A case study of Bangkok MRT Blue Line
Published 2025-10-01“…This integrated framework, which combines the non-dominated sorting genetic algorithm (NSGA-II) with LSTM neural networks, is applied to MOO to identify the optimal SOPs, while accounting for their influence on S variation as a time-series over 11 timesteps, as considered in this study. …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach
Published 2025-05-01Get full text
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