[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Rastgoufard et al., 2016 - Google Patents

Parameter selection of multi-class SVM with evolutionary optimization methods for static security evaluation in power systems

Rastgoufard et al., 2016

Document ID
11668809818836779755
Author
Rastgoufard S
Charalampidis D
Publication year
Publication venue
2016 IEEE Electrical Power and Energy Conference (EPEC)

External Links

Snippet

Static Security Evaluation (SSE) is one of the most important real-time studies in power systems. Static security can be assessed by different machine learning methods. In this paper, one of the well-known classifiers, namely the Support Vector Machine (SVM), is used …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/12Computer systems based on biological models using genetic models
    • G06N3/126Genetic algorithms, i.e. information processing using digital simulations of the genetic system
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/005Probabilistic networks
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/02Knowledge representation
    • G06N5/022Knowledge engineering, knowledge acquisition
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00Computer systems based on specific mathematical models
    • G06N7/02Computer systems based on specific mathematical models using fuzzy logic
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/04Forecasting or optimisation, e.g. linear programming, "travelling salesman problem" or "cutting stock problem"
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation, e.g. computer aided management of electronic mail or groupware; Time management, e.g. calendars, reminders, meetings or time accounting

Similar Documents

Publication Publication Date Title
Zhang et al. Multi-objective reactive power and voltage control based on fuzzy optimization strategy and fuzzy adaptive particle swarm
Chen et al. Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques
Lian et al. Landslide displacement prediction with uncertainty based on neural networks with random hidden weights
Wu et al. Possibility distribution-based approach for MAGDM with hesitant fuzzy linguistic information
Bao et al. PSO-MISMO modeling strategy for multistep-ahead time series prediction
Su et al. Deep belief network enabled surrogate modeling for fast preventive control of power system transient stability
Sayah et al. Efficient hybrid optimization approach for emission constrained economic dispatch with nonsmooth cost curves
Regalado et al. Optimal power flow solution using modified flower pollination algorithm
Bilodeau et al. Adaptively exploiting d-separators with causal bandits
Rastgoufard et al. Parameter selection of multi-class SVM with evolutionary optimization methods for static security evaluation in power systems
De Falco et al. Evaluation of particle swarm optimization effectiveness in classification
Arasomwan et al. On adaptive chaotic inertia weights in particle swarm optimization
Tang et al. Bandit Learning with Biased Human Feedback.
Shahzad A comparative analysis of artificial neural network and support vector machine for online transient stability prediction considering uncertainties
Muelas et al. A memetic differential evolution algorithm for continuous optimization
Ma et al. A novel kernel extreme learning machine algorithm based on self-adaptive artificial bee colony optimisation strategy
Saber et al. Economic load dispatch using particle swarm differential evolution optimization
Rastgoufard et al. Tuned support vector regression by modified particle swarm optimization for online power system static security evaluation
CN112580868A (en) Power system transmission blocking management method, system, equipment and storage medium
Ma et al. Robust support vector machine using least median loss penalty
Sarafraz et al. Student yield maximization using genetic algorithm on a predictive enrollment neural network model
Barreto et al. Study of particle swarm optimization variations applied to transmission expansion planning
Tabibian et al. Consequential ranking algorithms and long-term welfare
Zhou et al. Deriving AC OPF Solutions via Proximal Policy Optimization for Secure and Economic Grid Operation
de A. Araújo A quantum‐inspired evolutionary hybrid intelligent approach for stock market prediction