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110 Result(s)
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English
Artificial Intelligence
Zhigang **
Engineering
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Article
Mechanistic Analysis and Bio-inspired Applications for a Bidirectional Stiffness of a Water Snail Operculum
The water snail Pomacea canaliculata retracts the discoidal and multi-layered operculum to protect the soft body from being attacked by predators, and releases it when threats lifted. However, the duration of the...
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Article
Fusion of infrared and visible images based on discrete cosine wavelet transform and high pass filter
A single visible image and an infrared image have specific limits in representing environmental information, combining the two can enhance the visual information in the image. The discrete wavelet transform (D...
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Article
Open AccessA Gravitation-Based Hierarchical Community Detection Algorithm for Structuring Supply Chain Network
As industrial production outsourcing expands, the collaboration relationship of firms evolves to be more entangled, which means that the enterprise communities in the supply chain network become increasingly o...
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Article
q-Rung orthopair fuzzy inequality derived from equality and operation
The q-rung orthopair fuzzy set is an extension of fuzzy set, whose remarkable characteristic is that the sum of q power of membership degree, non-membership degree and hesitation degree is equal to 1. Inequalitie...
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Article
Open AccessAn Adaptive Lion Swarm Optimization Algorithm Incorporating Tent Chaotic Search and Information Entropy
This paper proposes an improved adaptive lion swarm optimization (LSO) algorithm integrating the chaotic search strategy and information entropy to address the problem that the standard LSO algorithm has slow ...
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Chapter
Prospects of Future Research Issues
We have mentioned the difficulty of smart grid forecast and dispatch mainly lies in the strong uncertainty, curse of dimensionality and the trouble of establishing the accurate model. Fortunately, as one of th...
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Chapter
Introduction for Smart Grid Forecast and Dispatch
As a novel generation of power systems, smart grid is devoted to achieving a sustainable, secure, reliable and flexible energy delivery through the bidirectional power and information flow.
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Book
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Chapter
Overview of Catenary Detection of Electrified Railways
The high-speed railway catenary system, which mainly consists of support devices and suspension devices, is an important part of the high-speed railway and is responsible for providing stable electrical energy...
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Chapter
Catenary Support Components and Their Characteristics in High-Speed Railways
The catenary system is an important part of high-speed railways and is responsible for providing stable power transmission for high-speed trains. The catenary system is mainly composed of two parts: the suppor...
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Chapter
Uncertainty Characterization of Power Grid Net Load of Dirichlet Process Mixture Model Based on Relevant Data
The net load of the power grid is the active power difference between the electricity demand of power users and renewable energy generation.
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Chapter
Multi-objective Optimization Approach for Coordinated Scheduling of Electric Vehicles-Wind Integrated Power Systems
It is well recognized that renewable energy and electric vehicles are widely deployed for adapting to our society in an environmental way [1–4].
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Chapter
Many-Objective Distribution Network Reconfiguration Using Deep Reinforcement Learning-Assisted Optimization Algorithm
In recent years, energy and environmental crises have been significant obstacles to the sustainable development of our society. In order to lessen these crises, renewable energy (RE) has been paid more attenti...
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Chapter
Review for Smart Grid Forecast
Accurate, effective and reliable forecasting techniques are essential for the development of the smart grid.
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Chapter
Deep Learning-Based Densely Connected Network for Load Forecast
As we know, load forecasting plays an important role in various power system decision-making problems, such as unit commitment and economic dispatch.
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Chapter
Dense Skip Attention-Based Deep Learning for Day-Ahead Electricity Price Forecasting with a Drop-Connected Structure
The fluctuation of electricity prices affects the allocation and dispatch of power resources in the electricity market [1–3].
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Chapter
Extreme Learning Machine for Economic Dispatch with High Penetration of Wind Power
In recent years, renewable energy has been paid more attention and utilized more extensively throughout the world [1].
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Chapter
Federated Multi-agent Deep Reinforcement Learning for Multi-microgrid Energy Management
In recent years, renewable energy (RE) has been widely deployed, such as wind power and photovoltaic. Unlike traditional energy, RE resources are usually distributed.
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Chapter
Review for Smart Grid Dispatch
As a novel generation of power systems, smart grid is devoted to achieving a sustainable, secure, reliable and flexible energy delivery through the bidirectional power and information flow.
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Chapter and Conference Paper
Autonomous Electric Vehicle Battery Disassembly Based on NeuroSymbolic Computing
The booming of electric vehicles demands efficient battery disassembly for recycling to be environment-friendly. Due to the unstructured environment and high uncertainties, battery disassembly is still primari...
