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221

A novel deep neural network based on randomly occurring distributed delayed PSO algorithm for monitoring the energy produced by four dual-axis solar trackers.
Ali Jallal, Mohammed ; Chabaa, Samira ; Zeroual, Abdelouhab
Renewable Energy: An International Journal. Apr2020, Vol. 149, p1182-1196. 15p.

Solar energy Weather forecasting Particle swarm optimizat... Meteorological observati... Algorithms Alice Springs (N.T.) …
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222

DISTRIBUTED ACCELERATED PROJECTION-BASED CONSENSUS DECOMPOSITION
WIKTOR MAJ
TASK Quarterly, Vol 26, Iss 2 (2023)

factorization approximat... numerical optimization distributed computing acceleration Information technology T58.5-58.64
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223

ADMM-RMCBF-Net: A neural network decision for distributed robust multi-cell beamforming.
Xu, Jing ; Wang, Qiaozhi ; Xu, Chongbin ; et al.
Physical Communication. Jun2025, Vol. 70, pN.PAG-N.PAG. 1p.

Semidefinite programming Deep learning Beamforming Interior-point methods Algorithms
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224

Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms
Chen, Xiangyi ; Chen, Tiancong ; Sun, Haoran ; et al.

Computer Science - Machi... Computer Science - Distr... Mathematics - Optimizati... Statistics - Machine Lea...
Report
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225

Data‐driven energy sharing for multi‐microgrids with building prosumers: A hybrid learning approach.
Sun, Haonan ; Liu, Nian ; Tan, Lu ; et al.
IET Renewable Power Generation (Wiley-Blackwell). Jan2025, Vol. 19 Issue 1, p1-13. 13p.

Energy industries Microgrids Reinforcement learning Mathematical optimizatio... Machine learning Data analytics
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226

Sample Contribution Pattern Based Big Data Mining Optimization Algorithms
Xiaodong Shi ; Yang Liu
IEEE Access, Vol 9, Pp 32734-32746 (2021)

Big data mining gradient descent gradient reuse sample contribution patt... Electrical engineering.... TK1-9971
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227

ENHANCING ADAPTIVE LEARNING AND DECISION-MAKING SYSTEMS USING SWARM INTELLIGENCE AND DEEP LEARNING FOR ADVANCED AI APPLICATIONS.
Gupta, Brijendra ; Dusane, Atul ; Patil, Neeta P. ; et al.
ICTACT Journal on Soft Computing. Oct2024, Vol. 15 Issue 2, p3482-3490. 9p.

Machine learning Swarm intelligence Federated learning Artificial intelligence Instructional systems Deep learning
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228

A Quantum-Behaved Particle Swarm Optimization Algorithm on Riemannian Manifolds
Halimu, Yeerjiang ; Zhou, Chao ; You, Qi ; et al.
Mathematics. November, 2022, Vol. 10 Issue 22,.

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229

Ecological Approach and Departure‐Driving Strategy Optimized by Using Syncretic Learning with Trapezoidal Collocation Algorithm for the Plug‐In Hybrid Electric Vehicles.
Lin, Xinyou ; Chen, Xiankang ; Chen, Zhiyong ; et al.
Energy Technology. Apr2024, Vol. 12 Issue 4, p1-16. 16p.

Plug-in hybrid electric... Hybrid electric vehicles Radial basis functions Signalized intersections Torque control Machine learning …
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230

A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark.
Ramírez-Gallego, S. ; García, S. ; Benítez, J.M. ; et al.
Swarm & Evolutionary Computation. Feb2018, Vol. 38, p240-250. 11p.

Big data Multidisciplinary design... Evolutionary algorithms Machine learning Discretization methods
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231

Reinforcement learning for the optimization of electric vehicle virtual power plants.
International Transactions on Electrical Energy Systems. Aug2021, Vol. 31 Issue 8, p1-30. 30p.

Power plants Renewable energy sources Electric vehicles Electric automobiles Reinforcement learning Deep learning …
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232

Optimizing dispatch factor in smart energy networks using cloud-based computational resources
Zain ul Abedin ; Li Jianbin ; Muhammad Siddique ; et al.
Scientific Reports, Vol 15, Iss 1, Pp 1-14 (2025)

Optimization Dispatch Factor Cloud Computing Power distribution Medicine Science
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233

Global Optimization for Energy Efficient Resource Management by Game Based Distributed Learning in Internet of Things.
Chun Hua Ju ; Qi Shao
KSII Transactions on Internet & Information Systems. Oct2015, Vol. 9 Issue 10, p3771-3788. 18p. 1 Diagram, 2 Charts, 2 Graphs.

Internet of things Global optimization Resource management Energy consumption Game theory Machine learning …
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234

Hybrid solar transcritical CO2 and green hydrogen loop for sustainable off-grid energy: Performance analysis and techno-economic optimization.
Ramachandran, Siddharth ; Bhogilla, Satya Sekhar ; Kuo, Jenn-Kun
Renewable Energy: An International Journal. Feb2026, Vol. 257, pN.PAG-N.PAG. 1p.

Hybrid solar energy syst... Energy consumption Green fuels Distributed power genera... Clean energy Solar energy …
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235

Application of chaotic Fish School Search optimization algorithm with exponential step decay in neural network loss function optimization.
Demidova, L.A. ; Gorchakov, A.V.
Procedia Computer Science. 2021, Vol. 186, p352-359. 8p.

Fish schooling Mathematical optimizatio... Electrical impedance tom... Assembly line balancing Search algorithms Reinforcement learning
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236

Techno-environmental assessment and machine learning-based optimization of a novel dual-source multi-generation energy system.
Javaherian, Amirreza ; Ghasemzadeh, Nima ; Javanshir, Nima ; et al.
Process Safety & Environmental Protection: Transactions of the Institution of Chemical Engineers Part B. Aug2023, Vol. 176, p537-559. 23p.

Saline water conversion Carbon emissions Pollutants Trigeneration (Energy) Supercritical carbon dio... Supply & demand …
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237

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238

Autonomous Navigation and Control Method of UAV Swarm Based on Deep Reinforcement Learning.
Zheng, Yingsong
Procedia Computer Science. 2025, Vol. 261, p870-878. 9p.

Deep reinforcement learn... Reinforcement learning Machine learning Acceleration (Mechanics) Energy consumption
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239

A Consensus-Based Distributed Two-Layer Control Strategy with Predictive Compensation for Islanded Microgrid CPS against DoS Attack.
Liu, Xinrui ; Hou, Min ; Yang, Jianjun ; et al.
International Transactions on Electrical Energy Systems. 9/8/2022, p1-15. 15p.

Denial of service attack... Microgrids Hilbert-Huang transform Machine learning Cyber physical systems
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240

A reinforcement learning hyper-heuristic algorithm for the distributed flowshops scheduling problem under consideration of emergency order insertion.
Zhao, Fuqing ; Liu, Yuebao ; Xu, Tianpeng ; et al.
Applied Soft Computing. Dec2024:Part C, Vol. 167, pN.PAG-N.PAG. 1p.

Flow shop scheduling Machine learning Reinforcement learning Flow shops Manufacturing processes
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