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Short-term power load forecasting method based on Bagging-stochastic configuration networks

PloS one, 2024-03, Vol.19 (3), p.e0300229-e0300229

2024

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An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process

Computers & industrial engineering, 2018-08, Vol.122, p.235-250

2018

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A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process

European journal of operational research, 2014-07, Vol.236 (1), p.51-60

2014

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Data-driven random forest forecasting method of monthly electricity consumption

Electrical engineering, 2022-08, Vol.104 (4), p.2045-2059

2022

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Environmental economic dispatch method of power system based on multiobjective artificial bee colony algorithm

Electrical engineering, 2024-02, Vol.106 (1), p.567-579

2024

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Estimation of the boundary condition of a 3D heat transfer equation using a modified hybrid conjugate gradient algorithm

Applied Mathematical Modelling, 2022-02, Vol.102, p.768-785

2022

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Insulator Defect Recognition Based on Vision Big‐Model Transfer Learning and Stochastic Configuration Network

IET signal processing, 2024-06, Vol.2024 (1)

2024

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RETRACTED ARTICLE: A Hybrid Intelligent Optimization Algorithm for Solving the Producing Work Order Group Furnace Problem

Arabian journal for science and engineering (2011), 2023, Vol.48 (2), p.2579-2579

2023

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A Multiobjective Optimization Algorithm for Fluid Catalytic Cracking Process with Constraints and Dynamic Environments

Mathematics (Basel), 2024-07, Vol.12 (14), p.2285

2024

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An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

Measurement and control (London), 2020-11, Vol.53 (9-10), p.1920-1928

2020

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Parameterization optimal control of an unsteady partial differential equations with convection term by an improved three-term spectrum conjugate gradient algorithm

Measurement and control (London), 2024-04, Vol.57 (4), p.341-360

2024

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Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm

PeerJ. Computer science, 2022-09, Vol.8, p.e1108-e1108, Article e1108

2022

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An effective Lagrangian relaxation approach for rescheduling a steelmaking-continuous casting process

Control engineering practice, 2014-09, Vol.30, p.67-77

2014

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Dynamic Response Analyses of Plastic Greenhouse Structure considering Fluctuating Wind Load

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Frontiers in energy research, 2023-07, Vol.11

2023

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Estimation of Heat Flux in Two-Dimensional Nonhomogeneous Parabolic Equation Based on a Sufficient Descent Levenberg–Marquard Algorithm

Journal of mathematics (Hidawi), 2021, Vol.2021, p.1-15

2021

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Intelligent decoupling PID control for the forced-circulation evaporation system

Chinese journal of chemical engineering, 2015-12, Vol.23 (12), p.2075-2086

2015

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Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response

Energy (Oxford), 2024-08, Vol.300, p.131513, Article 131513

2024

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A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response

Expert systems with applications, 2024-06, Vol.243, p.122875, Article 122875

2024

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Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting

Computers & mathematics with applications (1987), 2024-03, Vol.157, p.49-64

2024

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Scheduling method for steelmaking and continuous casting production process and its application

Proceedings of the 32nd Chinese Control Conference, 2013, p.2420-2425

2013

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Ladle intelligent re-scheduling method in steelmaking–refining–continuous casting production process based on BP neural network working condition estimation

International journal of advanced manufacturing technology, 2022-09, Vol.122 (1), p.65-85

2022

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An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system

Journal of intelligent & fuzzy systems, 2023-12, Vol.45 (6), p.11585-11600

2023

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An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping

IEEE transactions on automation science and engineering, 2024, p.1-16

2024

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Estimating the Health State of Lithium-Ion Batteries Using an Adaptive Gated Sequence Network and Hierarchical Feature Construction

Batteries (Basel), 2024-08, Vol.10 (8), p.278

2024

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Short-term power load forecasting method based on Bagging-stochastic configuration networks

An Improved Artificial Bee Colony algorithm for real-world hybrid flowshop rescheduling in Steelmaking-refining-Continuous Casting process

A novel Lagrangian relaxation approach for a hybrid flowshop scheduling problem in the steelmaking-continuous casting process

Data-driven random forest forecasting method of monthly electricity consumption

Environmental economic dispatch method of power system based on multiobjective artificial bee colony algorithm

Estimation of the boundary condition of a 3D heat transfer equation using a modified hybrid conjugate gradient algorithm

Insulator Defect Recognition Based on Vision Big‐Model Transfer Learning and Stochastic Configuration Network

RETRACTED ARTICLE: A Hybrid Intelligent Optimization Algorithm for Solving the Producing Work Order Group Furnace Problem

A Multiobjective Optimization Algorithm for Fluid Catalytic Cracking Process with Constraints and Dynamic Environments

An improved imperialist competitive algorithm for hybrid flowshop rescheduling in steelmaking-refining-continuous casting process

Parameterization optimal control of an unsteady partial differential equations with convection term by an improved three-term spectrum conjugate gradient algorithm

Short-term power load forecasting based on gray relational analysis and support vector machine optimized by artificial bee colony algorithm

An effective Lagrangian relaxation approach for rescheduling a steelmaking-continuous casting process

Dynamic Response Analyses of Plastic Greenhouse Structure considering Fluctuating Wind Load

Ultra-short-term power load forecasting method based on stochastic configuration networks and empirical mode decomposition

Estimation of Heat Flux in Two-Dimensional Nonhomogeneous Parabolic Equation Based on a Sufficient Descent Levenberg–Marquard Algorithm

Intelligent decoupling PID control for the forced-circulation evaporation system

Optimal scheduling of a cogeneration system via Q-learning-based memetic algorithm considering demand-side response

A bi-objective low-carbon economic scheduling method for cogeneration system considering carbon capture and demand response

Optimal control of three-dimensional unsteady partial differential equations with convection term in continuous casting

Scheduling method for steelmaking and continuous casting production process and its application

Ladle intelligent re-scheduling method in steelmaking–refining–continuous casting production process based on BP neural network working condition estimation

An improved memetic algorithm with Q-learning for low carbon economic scheduling of cogeneration system

An Attribution Feature-Based Memetic Algorithm for Hybrid Flowshop Scheduling Problem With Operation Skipping

Estimating the Health State of Lithium-Ion Batteries Using an Adaptive Gated Sequence Network and Hierarchical Feature Construction

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