☆ 4.7 Article

A vertical and horizontal crossover sine cosine algorithm with pattern search for optimal power flow in power systems

ENERGY (2023)

相关参考文献

注意：仅列出部分参考文献，下载原文获取全部文献信息。

Article Engineering, Electrical & Electronic

A Simultaneous Diagnosis Method for Power Switch and Current Sensor Faults in Grid-Connected Three-Level NPC Inverters

Shuiqing Xu et al.

Summary: This paper proposes a simultaneous diagnosis method for power switch open-circuit faults and current sensor faults of grid-connected three-level neutral point clamped (NPC) inverters. By designing an adaptive reaching law and reducing the steady-state resonance, a novel interval sliding model observer is developed to accurately and rapidly track and estimate the three-phase currents. A faulty phase detection scheme and identification methods are proposed to achieve sensitive and robust detection and identification results. Hardware-in-the-loop test results validate the effectiveness and robustness of the proposed method.

IEEE TRANSACTIONS ON POWER ELECTRONICS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Dynamic hybrid mechanism-based differential evolution algorithm and its application

Yingjie Song et al.

Summary: This paper proposes an optimization algorithm QGDECC, which combines quantum evolutionary algorithm and genetic algorithm, to effectively schedule railway train delay. The algorithm is validated on benchmark functions and actual train operation data, and the results show that QGDECC has higher adaptability and convergence speed, and can effectively eliminate the impact of delay on the railway network.

EXPERT SYSTEMS WITH APPLICATIONS (2023)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A Collaborative Alignment Framework of Transferable Knowledge Extraction for Unsupervised Domain Adaptation

Binhui Xie et al.

Summary: This paper proposes a unified framework called Collaborative Alignment Framework (CAF), which reduces global domain discrepancy and preserves local semantic consistency for cross-domain knowledge transfer. It utilizes adversarial training or Wasserstein distance to learn domain-level invariant representations and enhances the features of target data to be consistent with the source data class-wise. Experimental results demonstrate the superiority of the proposed methods over existing methods on popular benchmarks.

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2023)

添加到收藏夹

Article Computer Science, Information Systems

Deep Learning-based Smart Predictive Evaluation for Interactive Multimedia-enabled Smart Healthcare

Zhihan Lv et al.

Summary: This study prepared two-dimensional bi-component structures consisting of cobalt and permalloy elliptical dots and investigated the frequency dependence of thermally excited magnetic eigenmodes. It also developed an interactive smart healthcare prediction and evaluation model based on deep learning, which showed higher accuracy and smaller error in performance.

ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS (2022)

添加到收藏夹

Article Computer Science, Hardware & Architecture

A Structural Evolution-Based Anomaly Detection Method for Generalized Evolving Social Networks

Huan Wang et al.

Summary: This study proposes a novel structural evolution-based anomaly detection method (SeaDM) for generalized evolving social networks with limited structural information. SeaDM combines an evolutional state construction algorithm and an optimized evolutional observation algorithm to evaluate state change and detect anomalies.

COMPUTER JOURNAL (2022)

添加到收藏夹

Article Energy & Fuels

Smart Distribution Network Situation Awareness for High-Quality Operation and Maintenance: A Brief Review

Leijiao Ge et al.

Summary: This paper discusses the importance of high-quality operation and maintenance in smart distribution networks (SDN) for meeting the requirements of high-tech enterprises for high power quality. Situation awareness (SA) is identified as a significant element in enhancing high-quality operation and maintenance, particularly after the integration of intermittent renewable energy into SDN. The paper decomposes SA into detection, comprehension, and projection stages and presents a five-layer visualization framework. It provides insights into the technical achievements, barriers, and future research directions of SDN SA for researchers and utility engineers.

ENERGIES (2022)

添加到收藏夹

Article Environmental Sciences

Semi-Supervised SAR Target Detection Based on an Improved Faster R-CNN

Leiyao Liao et al.

Summary: In the field of remote sensing image processing, a method called FDDA is proposed to improve semi-supervised SAR target detection by utilizing a decoding module and a domain-adaptation module. Experimental results show promising performance in SAR target detection with limited labeled SAR images using this approach.

REMOTE SENSING (2022)

添加到收藏夹

Article Engineering, Civil

A Novel Gate Resource Allocation Method Using Improved PSO-Based QEA

Wu Deng et al.

Summary: The paper introduces a three-objective gate allocation model to optimize passenger walking distances, balanced idle time, and efficient use of gates. An IPOQEA algorithm is proposed to efficiently solve the model, with validation on the effectiveness at Baiyun Airport.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2022)

添加到收藏夹

Article Automation & Control Systems

Dynamic Selection Preference-Assisted Constrained Multiobjective Differential Evolution

Kunjie Yu et al.

Summary: In this article, a dynamic selection preference-assisted constrained multiobjective differential evolutionary algorithm is proposed to adjust the tradeoff between objective functions and constraints dynamically, yielding superior performance in solving constrained multiobjective optimization problems.

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS (2022)

添加到收藏夹

Article Green & Sustainable Science & Technology

Credible capacity calculation method of distributed generation based on equal power supply reliability criterion

Jiahao Chen et al.

Summary: This paper proposes a method for calculating the credible capacity of distributed generation (DG) based on equal power supply reliability criterion, taking into account both the unserved electricity under fault state and the insufficient power supply under normal state. By utilizing optimization models and a load curtailment model, it is found that ignoring the insufficient electricity under normal state can lead to a significant deviation in the credible capacity value.

RENEWABLE ENERGY (2022)

添加到收藏夹

Article Mathematics

Power Scheduling Optimization Method of Wind-Hydrogen Integrated Energy System Based on the Improved AUKF Algorithm

Yong Wang et al.

Summary: With the proposal of China’s green energy strategy, this study focuses on the development of wind and hydrogen energy technologies. The study builds a distributed wind-hydrogen hybrid energy system model and proposes a power dispatching optimization technology. The experiment shows that the power allocation strategy based on the AUKF algorithm effectively reduces battery overcharge and overdischarge, and can deal with rapid changes in wind speed. The wind-hydrogen integrated energy system developed in this study has stable grid-connected power and good controllability.

MATHEMATICS (2022)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Simulated annealing-based dynamic step shuffled frog leaping algorithm: Optimal performance design and feature selection

Yun Liu et al.

Summary: This paper proposes an improved shuffled frog leaping algorithm that incorporates dynamic step size adjustment, specular reflection learning, and simulated annealing mechanisms. Experimental results show that the algorithm achieves superior solutions and performs well in feature selection tasks.

NEUROCOMPUTING (2022)

添加到收藏夹

Article Energy & Fuels

Optimization planning method of distributed generation based on steady-state security region of distribution network

Bing Sun et al.

Summary: This study proposes an optimization planning method considering wind and PV electricity curtailment measure, and solves the optimization model through the steady-state security region of the distribution network. Under the principle of economic consumption, the penetration rate of renewable energy electricity can be effectively improved.

ENERGY REPORTS (2022)

添加到收藏夹

Review Energy & Fuels

Virtual Collection for Distributed Photovoltaic Data: Challenges, Methodologies, and Applications

Leijiao Ge et al.

Summary: This paper provides a comprehensive and systematic review of virtual collection in distributed photovoltaic systems (DPVS). The challenges and main methods applicable to virtual collection are identified through problem analogy. The diversified application scenarios of virtual collection are also discussed, aiming to provide helpful information for the development of the DPVS industry.

ENERGIES (2022)

添加到收藏夹

Article Engineering, Multidisciplinary

A novel hybrid GWO-PSO optimization technique for optimal reactive power dispatch problem solution

Mohamed A. M. Shaheen et al.

Summary: This paper introduces a hybrid Grey Wolf Optimization and Particle Swarm Optimization (GWO-PSO) method for solving the optimal reactive power dispatch (ORPD) problem in electric power networks. The combination aims to minimize power losses in transmission systems and voltage deviations at load buses, showing effectiveness in seeking the global best solution.

AIN SHAMS ENGINEERING JOURNAL (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Development of the Multi-Objective Adaptive Guided Differential Evolution and optimization of the MO-ACOPF for wind/PV/tidal energy sources

Serhat Duman et al.

Summary: This study presents the MOAGDE as a powerful and stable algorithm for finding Pareto optimal solutions for multi-objective optimization problems. The MOAGDE was developed by redesigning the adaptive guided differential evolution algorithm and integrating non-dominated sorting strategy with crowding distance for archiving Pareto optimal solutions. The algorithm was tested using the CEC 2020 benchmark problem suite and compared with other algorithms in the literature on a real-world engineering problem.

APPLIED SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimal power flow solution with stochastic wind power using the Levy coyote optimization algorithm

Enes Kaymaz et al.

Summary: Optimal power flow (OPF) is a fundamental optimization problem in modern power systems, especially with the integration of renewable energy sources like wind power. This paper introduces an improved method based on the Levy Coyote optimization algorithm (LCOA) for solving the OPF problem with stochastic wind power, showing that LCOA is more effective than other optimization methods in reaching optimal solutions.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An improved version of salp swarm algorithm for solving optimal power flow problem

Salma Abd El-sattar et al.

Summary: The study introduces an improved salp swarm algorithm (ISSA) for optimal power flow (OPF) problem, which enhances both exploration and exploitation processes to balance the algorithm's performance and effectively avoid local optima issues.

SOFT COMPUTING (2021)

添加到收藏夹

Article Thermodynamics

A high-performance crisscross search based grey wolf optimizer for solving optimal power flow problem

Anbo Meng et al.

Summary: This study proposes a crisscross search-based grey wolf optimizer for solving the optimal power flow problem with multiple objective functions, showing significant advantages in large-scale systems.

ENERGY (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hunger games search: Visions, conception, implementation, deep analysis, perspectives, and towards performance shifts

Yutao Yang et al.

Summary: The research proposes a population-based optimization technique called Hunger Games Search (HGS), designed based on the hunger-driven activities and behavioral choices of animals, with a simple structure, special stability features, and competitive performance to efficiently address constrained and unconstrained problems.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A novel hybrid self-adaptive heuristic algorithm to handle single- and multi-objective optimal power flow problems

Ehsan Naderi et al.

Summary: A novel fuzzy adaptive hybrid configuration algorithm is proposed to solve the multi-objective optimal power flow problem, taking into account practical limitations in real power systems. Results demonstrate the effectiveness of the proposed approach.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Hybridizing sine-cosine algorithm with harmony search strategy for optimization design problems

Narinder Singh et al.

Summary: Recent developments show a rapid growth of optimization meta-heuristics, with the sine-cosine optimizer being a stochastic technique that aims to find global optimal solutions. However, standard SCA methods often yield poor results on complex functions due to slow convergence, imbalanced exploration and exploitation, and inefficiency in convergence. To address these shortcomings, a new heuristic approach merging features of SCA and HS known as the HSCAHS algorithm is proposed, which demonstrates improved performance on a variety of optimization problems.

SOFT COMPUTING (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SAFE: Scale-Adaptive Fitness Evaluation Method for Expensive Optimization Problems

Sheng-Hao Wu et al.

Summary: The proposed SAFE method is a novel approach to efficiently solve expensive optimization problems by using a set of evaluation methods with different accuracy scales. Experimental results demonstrate that the method achieves better solution quality compared to baseline and state-of-the-art algorithms.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2021)

添加到收藏夹

Article Engineering, Civil

Large-Scale Many-Objective Deployment Optimization of Edge Servers

Bin Cao et al.

Summary: The development of the Internet of Vehicles has brought about intelligent network transportation systems. This paper studied the placement problem of Edge Servers (ESs) in the IoV and constructed a six-objective ES deployment optimization model. By optimizing the deployment problem of ESs using a many-objective evolutionary algorithm, the effectiveness of the algorithm and model was verified through comparisons with state-of-the-art methods.

IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Boosted kernel search: Framework, analysis and case studies on the economic emission dispatch problem

Ruyi Dong et al.

Summary: The Kernel Search Optimization (KSO) algorithm was proposed to simplify the optimization process by transforming the optimization of nonlinear functions into a linear process. By adopting a local search of the hill-climbing algorithm and simplifying the calculation of kernel parameters, the improved algorithm outperformed the original KSO and some well-known algorithms in terms of accuracy and running time.

KNOWLEDGE-BASED SYSTEMS (2021)

添加到收藏夹

Article Engineering, Electrical & Electronic

A Convex Three-Stage SCOPF Approach to Power System Flexibility With Unified Power Flow Controllers

Mingyu Yan et al.

Summary: This paper proposes a method using a Unified Power Flow Controller (UPFC) in three stages to deal with contingencies in power systems, applying a convex approach to reformulate the original SCOPF problem, and utilizing a two-level algorithm to solve the large-scale SOCP problem for accelerated convergence.

IEEE TRANSACTIONS ON POWER SYSTEMS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimal placement and sizing of FACTS devices for optimal power flow in a wind power integrated electrical network

Partha P. Biswas et al.

Summary: This paper addresses the challenging optimization problem of OPF in power domain, considering stochastic wind power and various FACTS devices. The optimization objective includes minimizing generation cost, optimizing wind power, and FACTS device location and ratings. The SHADE algorithm is adopted, combined with the SF method for constraint handling, demonstrating superior performance compared to other algorithms.

NEURAL COMPUTING & APPLICATIONS (2021)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimal power flow with stochastic wind power and FACTS devices: a modified hybrid PSOGSA with chaotic maps approach

Serhat Duman et al.

NEURAL COMPUTING & APPLICATIONS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

A non-convex economic load dispatch problem with valve loading effect using a hybrid grey wolf optimizer

Mohammed Azmi Al-Betar et al.

NEURAL COMPUTING & APPLICATIONS (2020)

添加到收藏夹

Article Thermodynamics

Optimal power flow by means of improved adaptive differential evolution

Shuijia Li et al.

ENERGY (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimal power flow using the AMTPG-Jaya algorithm

Warid Warid

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Multiobjective multi-verse optimization algorithm to solve combined economic, heat and power emission dispatch problems

Arunachalam Sundaram

APPLIED SOFT COMPUTING (2020)

添加到收藏夹

Article Computer Science, Theory & Methods

Improving NSGA-III algorithms with information feedback models for large-scale many-objective optimization

Zi-Min Gu et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2020)

添加到收藏夹

Article Computer Science, Information Systems

A Novel Nature Inspired Meta-Heuristic Optimization Approach of GWO Optimizer for Optimal Reactive Power Dispatch Problems

Raheela Jamal et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Engineering, Electrical & Electronic

Thickness Measurement of Metallic Plates With Finite Planar Dimension Using Eddy Current Method

Ruochen Huang et al.

IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT (2020)

添加到收藏夹

Article Computer Science, Information Systems

Optimal Reactive Power Dispatch Using Chaotic Bat Algorithm

Sylvere Mugemanyi et al.

IEEE ACCESS (2020)

添加到收藏夹

Article Computer Science, Artificial Intelligence

An efficient particle swarm optimization algorithm to solve optimal power flow problem integrated with FACTS devices

Ehsan Naderi et al.

APPLIED SOFT COMPUTING (2019)

添加到收藏夹

Article Computer Science, Theory & Methods

Harris hawks optimization: Algorithm and applications

Ali Asghar Heidari et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2019)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Coevolutionary Particle Swarm Optimization With Bottleneck Objective Learning Strategy for Many-Objective Optimization

Xiao-Fang Liu et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2019)

添加到收藏夹

Article Engineering, Electrical & Electronic

Solution of Optimal Reactive Power Dispatch by Symbiotic Organism Search Algorithm Incorporating FACTS Devices

Dharmbir Prasad et al.

IETE JOURNAL OF RESEARCH (2018)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Tree-seed algorithm for solving optimal power flow problem in large-scale power systems incorporating validations and comparisons

Attia A. El-Fergany et al.

APPLIED SOFT COMPUTING (2018)

添加到收藏夹

Article Thermodynamics

Multiobjective economic-environmental power dispatch with stochastic wind-solar-small hydro power

Partha P. Biswas et al.

ENERGY (2018)

添加到收藏夹

Article Automation & Control Systems

Optimal power flow solutions using differential evolution algorithm integrated with effective constraint handling techniques

Partha P. Biswas et al.

ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2018)

添加到收藏夹

Article Computer Science, Theory & Methods

An improved NSGA-III algorithm with adaptive mutation operator for Big Data optimization problems

Jiao-Hong Yi et al.

FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Remedial Actions for Security Constraint Management of Overstressed Power Systems

Jagadeesh Gunda et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

The Interdependence Between Transmission Switching and Variable-Impedance Series FACTS Devices

Yuanrui Sang et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2018)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal power flow solution in power systems using a novel Sine-Cosine algorithm

Abdel-Fattah Attia et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2018)

添加到收藏夹

Article Thermodynamics

Optimal power flow solutions incorporating stochastic wind and solar power

Partha P. Biswas et al.

ENERGY CONVERSION AND MANAGEMENT (2017)

添加到收藏夹

Article Engineering, Electrical & Electronic

Computationally Efficient Adjustment of FACTS Set Points in DC Optimal Power Flow With Shift Factor Structure

Mostafa Sahraei-Ardakani et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Optimal reactive power dispatch solution by loss minimization using moth-flame optimization technique

Rebecca Ng Shin Mei et al.

APPLIED SOFT COMPUTING (2017)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Chaotic krill herd algorithm for optimal reactive power dispatch considering FACTS devices

Aparajita Mukherjee et al.

APPLIED SOFT COMPUTING (2016)

添加到收藏夹

Article Thermodynamics

Wind speed forecasting based on wavelet packet decomposition and artificial neural networks trained by crisscross optimization algorithm

Anbo Meng et al.

ENERGY CONVERSION AND MANAGEMENT (2016)

添加到收藏夹

Article Engineering, Electrical & Electronic

Day-Ahead Corrective Adjustment of FACTS Reactance: A Linear Programming Approach

Mostafa Sahraei-Ardakani et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2016)

添加到收藏夹

Article Computer Science, Artificial Intelligence

SCA: A Sine Cosine Algorithm for solving optimization problems

Seyedali Mirjalili

KNOWLEDGE-BASED SYSTEMS (2016)

添加到收藏夹

Article Thermodynamics

Security constrained optimal power flow solution of wind-thermal generation system using modified bacteria foraging algorithm

Ambarish Panda et al.

ENERGY (2015)

添加到收藏夹

Article Engineering, Electrical & Electronic

Particle swarm optimization with an aging leader and challengers algorithm for optimal power flow problem with FACTS devices

Rudra Pratap Singh et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)

添加到收藏夹

Article Computer Science, Interdisciplinary Applications

Grey Wolf Optimizer

Seyedali Mirjalili et al.

ADVANCES IN ENGINEERING SOFTWARE (2014)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal power flow using Teaching-Learning-Based Optimization technique

H. R. E. H. Bouchekara et al.

ELECTRIC POWER SYSTEMS RESEARCH (2014)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Crisscross optimization algorithm and its application

An-bo Meng et al.

KNOWLEDGE-BASED SYSTEMS (2014)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal Placement of Multiple-Type FACTS Devices to Maximize Power System Loadability Using a Generic Graphical User Interface

Esmaeil Ghahremani et al.

IEEE TRANSACTIONS ON POWER SYSTEMS (2013)

添加到收藏夹

Article Thermodynamics

A new hybrid algorithm for optimal power flow considering prohibited zones and valve point effect

Taher Niknam et al.

ENERGY CONVERSION AND MANAGEMENT (2012)

添加到收藏夹

Article Thermodynamics

Optimal power flow using gravitational search algorithm

Serhat Duman et al.

ENERGY CONVERSION AND MANAGEMENT (2012)

添加到收藏夹

Article Energy & Fuels

Optimal location of Hybrid Flow Controller considering modified steady-state model

A. Lashkar Ara et al.

APPLIED ENERGY (2011)

添加到收藏夹

Article Thermodynamics

A modified shuffle frog leaping algorithm for multi-objective optimal power flow

Taher Niknam et al.

ENERGY (2011)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Genetic evolving ant direction HDE for OPF with non-smooth cost functions and statistical analysis

K. Vaisakh et al.

EXPERT SYSTEMS WITH APPLICATIONS (2011)

添加到收藏夹

Article Engineering, Electrical & Electronic

Modified Honey Bee Mating Optimisation to solve dynamic optimal power flow considering generator constraints

T. Niknam et al.

IET GENERATION TRANSMISSION & DISTRIBUTION (2011)

添加到收藏夹

Article Energy & Fuels

The Optimization of Energy Systems under Changing Policies of Greenhouse-gas Emission ControlA Study for the Province of Saskatchewan, Canada

Q. G. Lin et al.

ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS (2010)

添加到收藏夹

Article Computer Science, Artificial Intelligence

Ensemble of Constraint Handling Techniques

Rammohan Mallipeddi et al.

IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION (2010)

添加到收藏夹

Review Green & Sustainable Science & Technology

A dynamic inexact energy systems planning model for supporting greenhouse-gas emission management and sustainable renewable energy development under uncertainty-A case study for the City of Waterloo, Canada

Q. G. Lin et al.

RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2009)

添加到收藏夹

Review Computer Science, Artificial Intelligence

Ant colony optimization -: Artificial ants as a computational intelligence technique

Marco Dorigo et al.

IEEE COMPUTATIONAL INTELLIGENCE MAGAZINE (2006)

添加到收藏夹

Article Engineering, Electrical & Electronic

Optimal power flow with FACTS devices by hybrid TS/SA approach

W Ongsakul et al.

INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2002)

添加到收藏夹

© Peeref 2019-2024. All rights reserved.