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Everything about Grid classification
In applied mathematics, a grid or mesh is defined as the set of smaller shapes formed after discretisation of a geometric domain. Meshing has applications in the fields of geography, designing, computational fluid dynamics, and more generally in partial differential equations numerical solving. The geometric domain can be in any dimension. The two-dimensional meshing includes simple polygon, polygon with holes, multiple domain and curved domain. In three dimensions there are three types of inputs. They are simple polyhedron, geometrical polyhedron and multiple polyhedrons. Before defining the mesh type it is necessary to understand elements. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Grid classificationA 5-minute orientation
- Skim a recent paper: Classification of distribution power grid structures using inception v3 deep neural networkInfluential work since 2022
- Pick up a classic book: Complex MotionThe most-reprinted book on the subject
- Read the landmark paper: A review of electric load classification in smart grid environmentCited 238 times
- Go sideways: Mesh generationA closely related topic
- Go sideways: Types of meshA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
A review of electric load classification in smart grid environment
Faults in smart grid systems: Monitoring, detection and classification
Review and Classification of Control Systems in Grid-tied Inverters
Sub-grid scale model classification and blending through deep learning
A Methodology for Security Classification applied to Smart Grid Infrastructures
Grid Network: Feature Extraction in Anisotropic Perspective for Hyperspectral Image Classification
Islanding Classification Mechanism for Grid-Connected Photovoltaic Systems
Distributed monitoring system for voltage dip classification over distribution grid
🆕 Influential since 2022
Classification of distribution power grid structures using inception v3 deep neural network
Grid Classification-Based Surrogate-Assisted Particle Swarm Optimization for Expensive Multiobjective Optimization
Classification of smart grid stability prediction using cascade machine learning methods and the internet of things in smart grid
Practical Quantum K-Means Clustering: Performance Analysis and Applications in Energy Grid Classification
A secure and privacy-preserving data aggregation and classification model for smart grid
📚 Books worth reading
Complex MotionBernd Jahne, Bernd Jähne · 2007
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Mesh generation Mesh generation is the practice of creating a mesh, a subdivision of a continuous geometric space into discrete geometric and topological cells. Often…
- Types of mesh A mesh is a representation of a larger geometric domain by smaller discrete cells. Meshes are commonly used to compute solutions of partial differential…
- Coordinate system In geometry, a coordinate system is a system that uses one or more numbers, or coordinates, to uniquely determine and standardize the position of the points…
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- Computational electromagnetics Computational electromagnetics (CEM), computational electrodynamics or electromagnetic modeling is the process of modeling the interaction of electromagnetic…
- Numerical methods in fluid mechanics Fluid motion is governed by the Navier–Stokes equations, a set of coupled and nonlinear partial differential equations derived from the basic laws of conservati…
- Lagrangian particle tracking Lagrangian particle tracking (LPT) is a method used in fluid mechanics to analyze the motion of particles when subjected to a flow field. It provides a…
- Computational fluid dynamics Computational fluid dynamics (CFD) is a branch of both fluid mechanics and computational physics that uses numerical analysis and data structures to analyze…