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16 Result(s)
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Zhigang **
English
Artificial Intelligence
Control and Systems Theory
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Chapter
Overview of Flexible Load Control
Flexible load control refers to the ability to manage and adjust the consumption of electrical loads in response to changing energy supply and demand conditions.
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Chapter
Data Center Flexible Load Control for Renewable Energy Integration
Data center microgrids (DCMGs) have been recently established to address the above challenging issues of electricity cost and environmental impact. Therein, various work have contributed to reduce the cost of ...
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Chapter
Collaborative Response of Data Center Coupled with Hydrogen Storage System for Renewable Energy Absortion: A Global Interval Optimization Approach
To replace the conventional thermal power on the supply side, the connection of high-capacity renewable energy, such as wind power (WP) is considered to be one of the effective methods.
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Chapter
Demand–Supply Cooperative Responding Strategy in Power System with High Renewable Energy Penetration
Currently, human development is significantly constrained by energy and environmental crises. Renewable energy (RE) is considered as the solution for replacing conventional energy, because it is more environme...
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Chapter
Electric Vehicle Flexible Charging Load Control for Comprehensive Energy System Operation with Renewable Energy
In the present day, the sustainable development of modern society is threatened by the energy crisis and global warming. Efficient use of renewable generations (RGs) such as wind turbines (WT) and photovoltaic...
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Chapter
Data-Driven Distributionally Robust Scheduling of Community Comprehensive Energy Systems Considering Integrated Load Control
Recently, the depletion of fossil fuels and escalating environmental pollution have emerged as primary challenges confronting human civilization. The advent and progression of renewable generations (RGs) prese...
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Chapter
Data Center Load Control Based Microgrid Operation via Robust Multi-objective Optimization
With the development of information technology, such as big data, internet of things, and cloud computing, the demands for data storage, computing, and processing are growing explosively.
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Chapter
Flexible Industrial Load Control for Renewable Power System Operation
Renewable energy (RE) has been deployed significantly in recent years. Obviously, it is a suitable substitute of traditional thermal generators to achieve sustainable development of the world (Zhao et al. in I...
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Chapter
Battery Swap** Control for Centralized Electric Vehicle Charging System with Photovoltaic
In recent years, electric vehicles (EVs) and their charging stations have been extensively utilized to promote clean, efficient, and sustainable energy development (Liu et al. in IEEE Trans Ind Electr 62:2560–...
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Chapter
Optimal Scheduling of Integrated Demand Response-Enabled Community Integrated Energy Systems in Uncertain Environments
Environmental pollution and the depletion of traditional fossil fuels are pressing concerns. As a response, the international community is pursuing the development of renewable generation (RG) and improvements...
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Book
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Article
Open AccessA service-oriented energy assessment system based on BPMN and machine learning
Increasing energy cost and environmental problems push forward research on energy saving and emission reduction strategy in the manufacturing industry. Energy assessment of machining, as the basis for energy s...
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Article
Open AccessA machine learning-based approach for product maintenance prediction with reliability information conversion
Predictive maintenance (PdM) cannot only avoid economic losses caused by improper maintenance but also maximize the operation reliability of product. It has become the core of operation management. As an impor...
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Chapter and Conference Paper
Study of Ultrasonic Phased Array in Underwater Welding
The popular sensors used in water have a lot of difficulties when compared with those used in land welding automation. It is meaningful to find a new kind of sensor which is suitable to work in underwater weld...
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Chapter and Conference Paper
Improving Stability of Welding Model with ME-ELM
Welding shape is important in evaluating welding quality, but accurate predictive model is hard to achieve, because welding is a complex nonlinear process, and the sampled data are inevitably contaminated. Ext...
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Book
