Article
Thermodynamics
Kitti Nilpueng, Mehrdad Mesgarpour, Lazarus Godson Asirvatham, Ho Seon Ahn, Omid Mahian, Somchai Wongwises, Ahmet Selim Dalkilic
Summary: The study investigated the effects of different shapes, orientations, and distances on the air flow and heat transfer characteristics inside plate pin fin heat sinks. Results showed that under the same area, square pin fin heat sinks had higher heat transfer coefficient and pressure drop compared to circular pin fin heat sinks, while decreasing the distance led to an increase in heat transfer coefficient and pressure drop.
CASE STUDIES IN THERMAL ENGINEERING
(2021)
Article
Thermodynamics
Donglin Hong, Guojun Li, Linyang Wei, Dingyong Li, Pengju Li, Zhi Yi
Summary: The estimation of temporally-spatially varying heat transfer coefficient in air jet impingement is studied based on inverse heat conduction problem. A Self-Scaling Sequential Quasi-Newton Method (SS-SQNM) is developed for solving the inverse problem. Numerical tests show that the SS-SQNM can provide stable and accurate estimates of the heat transfer coefficient with shorter iteration time.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Thermodynamics
Keyu Zhu, Zhengze Chang, Mei Li, Liangrui Sun, Shaopeng Li, Haochen Xu, Miaofu Xu, Minjing Sang, Rui Ye, Ruixiong Han, Tongxian Zhao, Jianrong Zhou, Rui Ge
Summary: The 2 K heat exchanger was designed and calculated using the distributed parameter method, with ideal and real constraints set based on actual test conditions. The Non-dominated Sorting Genetic Algorithm-II (NSGA-II) was used for optimization, resulting in two sets of Pareto front solutions. Numerical simulation and experimental tests were conducted to verify the optimal design's performance under different flow conditions, confirming the accuracy of the design method.
APPLIED THERMAL ENGINEERING
(2023)
Article
Thermodynamics
Ranjan Das, Balaram Kundu
Summary: This paper demonstrates an inverse methodology for predicting internal heat generation and magnetic field strength in a radial porous fin using the Artificial Bee Colony (ABC) algorithm. The study found a linear relationship between magnetic field strength, heat generation, and temperature distribution. The ABC algorithm accurately reconstructs conditions and establishes relationships between parameters with high accuracy.
INTERNATIONAL COMMUNICATIONS IN HEAT AND MASS TRANSFER
(2021)
Article
Thermodynamics
Pei Zhang, Chuang Sun, Xin-Lin Xia
Summary: A hybrid optimization method that combines unscented Kalman smoothing and sequential quadratic programming is proposed to estimate the time-dependent boundary heat flux and temperature-dependent optical and thermophysical parameters of grey translucent medium simultaneously. The problem is solved using the finite volume method in the forward model, and the measured signals include temperature and radiative intensity on the boundaries of the medium. The results show that the proposed hybrid optimization technique is accurate and effective for determining the time-varying boundary heat flux and temperature-dependent optical and thermophysical parameters of grey translucent medium even with measurement errors.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Mathematics, Applied
Dimitri Rothermel, Thomas Schuster
Summary: This paper investigates the definition of the parameter-to-solution operator in the inverse heat convection problem, as well as two approaches for demonstrating the existence and uniqueness of solutions to the IBVP. The first approach uses pseudomonotone operators and strong solutions in Sobolev-Bochner spaces, while the second approach employs classical solutions in Holder spaces. The two methods have different levels of evidence for the existence of solutions to the problem, but the first approach fails to prove the uniqueness of the solution.
Article
Materials Science, Multidisciplinary
Rui Chen, Quanwei Zhang, Ruitao Peng, Ziheng Zhao, Congfang Hu, Xiangwu Xiao, Jisheng Li
Summary: This paper proposes a hybrid identification method of material parameters based on genetic algorithm and improved homotopy algorithm, which can rapidly and accurately obtain effective and reliable material parameters.
MATERIALS TODAY COMMUNICATIONS
(2022)
Article
Thermodynamics
Rajendran Prabakaran, Mohammad Salman, Poongavanam Ganesh Kumar, Dongchan Lee, Sung Chul Kim
Summary: This study investigated the evaporation characteristics of the R290 + CF3i mixture in a plate heat exchanger and found that nucleate boiling is quenched at lower vapor quality. The two-phase frictional pressure drop increases with mean vapor quality. The heat transfer coefficient is largely augmented with increases in mass flux.
APPLIED THERMAL ENGINEERING
(2022)
Article
Thermodynamics
Yuanqi Jing, Fei Li, Zhonglin Gu, Shibo Tang
Summary: Fast and accurate identification of pollutant source location and release rate is crucial for improving indoor air quality. Particularly in public buildings, identifying the airborne pathogen source is important for ensuring people's safety and health. This study proposed an algorithm combining the adjoint-pulse and regularization methods to accurately identify the spatiotemporal information of point pollutant sources. The results showed high accuracy in estimating source intensities and successfully locating the sources, making this method suitable for identifying airborne pathogen sources in public buildings with disease-specific biomarkers sensors.
BUILDING SIMULATION
(2023)
Article
Automation & Control Systems
Lidong Zhang, Tianyu Hu, Linxin Zhang, Zhile Yang, Sean McLoone, Muhammad Ilyas Menhas, Yuanjun Guo
Summary: A plate-fin heat exchanger (PFHE) is a compact and efficient thermal device, but its performance relies on its structural design. Optimizing the design of a PFHE is a challenging problem due to its nonlinearity, which can be solved using meta-heuristic algorithms. This paper proposes an improved method called dynamic-opposite learning Jaya (DOLJaya), which demonstrates competitive robustness, efficiency, and effectiveness in solving complex nonlinear problems.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Thermodynamics
Mingze Su, Yuping Gao, Fufeng Zhao, Yingwen Liu, Rixin Li, Jinbo Li
Summary: In this article, 3D numerical simulations are conducted to investigate the heat transfer performances of different fin surfaces for a one-row fin-and-tube heat exchanger. Five fin surfaces are evaluated, including one plain fin surface for comparison and four slit fin surfaces. The results show that under the same pumping power, the heat transfer improvements of the slit fin surfaces range from 5.3% to 47.3% compared to the plain fin surface.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Thermodynamics
Bo Gao, Qiang Yang, Weizhen Pan, Yumei Ye, Fajun Yi, Songhe Meng
Summary: In this paper, dynamic Bayesian networks were used to solve inverse heat transfer problems with temperature history data. The proposed method effectively identified the parameters through sensitivity analysis and DBN structure optimization, which was validated through numerical and experimental tests.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2022)
Article
Energy & Fuels
Y. Nandakishora, Ranjit K. Sahoo, S. Murugan, Sai Gu
Summary: Carbon capture by cryogenic treatment is an emerging method for reducing CO2 emissions, offering energy-saving and environmental benefits. This study focuses on analyzing a plate-fin heat exchanger (PFHE) for decreasing the temperature of CO2 and N-2 mixture, and it includes a comparative study of heat exchanger parameter evaluation correlations, software validation with experimental results, and investigating the influence of gas mixture inlet temperature, CO2 concentration, pressure drop, and mass flow rate on PFHE effectiveness.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2022)
Article
Mathematics, Applied
Inoussa Tougri, Marcelo J. Colaco, Fabio Bozzoli
Summary: The reciprocity function method is introduced as a powerful tool for transient inverse estimation of steady internal heat transfer coefficients in ducts using only external boundary data. This paper extends previous results by allowing transient measurements to be used for recovering steady heat transfer coefficients without reaching steady-state regime. The method requires only data from the external surface to estimate the unknown function on the internal surface. Results show that the method is efficient and accurate in recovering the internal heat transfer coefficients.
COMPUTATIONAL & APPLIED MATHEMATICS
(2023)
Article
Thermodynamics
Yujie Yang, Shimin Li, Hantao Liu
Summary: This paper experimentally investigates the heat transfer behavior of water in offset strip fin (OSF) channels. The results show that high fin density, small fin height and small fin length can improve the water heat transfer performance for the OSFs. The present study provides useful data for the design and development of OSF heat exchangers and offers strong support for a deeper understanding of liquid heat transfer behavior in OSF channels.
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER
(2023)
Article
Energy & Fuels
Sunirmit Verma, Sanjib Banerjee, Ranjan Das
Summary: The use of sinusoidal functions allows for the derivation of closed form solutions for the temperature of the cooking fluid and storage medium in a box-type solar cooker. The study investigates the effects of storage medium mass and cooking vessel area on the system's performance, and provides guidelines for the design of solar cookers with thermal storage.
Article
Thermodynamics
Sunirmit Verma, Ranjan Das
Summary: The effect of bottom surface thermal energy loss on a packed bed solar air heater is investigated using both numerical and analytical models. The study shows that the insulation thickness of the base has a significant impact on the system's output. A collector with no insulation on the base loses a large portion of the incident solar energy, while a thicker insulation reduces the loss fraction. The efficiency of the insulation decreases with larger collector size but increases with a higher mass flow rate of air. This research provides a mathematical tool to calculate the appropriate insulation thermal resistance for packed bed solar air heaters, optimizing thermal performance and minimizing insulation cost.
JOURNAL OF THERMAL SCIENCE AND ENGINEERING APPLICATIONS
(2022)
Article
Energy & Fuels
Ankit Varshney, Niraj Kumar Mishra, Ranjan Das
Summary: This paper presents a study on a novel electrostatic precipitator for capturing submicron particles emitted from biomass burning. Numerical simulation and experimental research show that the semi-circular corrugated plate ESP has a higher collection efficiency compared to the flat plate ESP, and can effectively suppress vortex formation and enhance particle collection efficiency.
BIOMASS CONVERSION AND BIOREFINERY
(2022)
Article
Environmental Sciences
Sunirmit Verma, Ranjan Das
Summary: This study revisits the performance of a solitary basin solar still aided by external heat addition. An expression for the maximum possible effectiveness of the exchanger is derived, and improved closed form solutions for the still water temperature and still productivity are obtained. The results show that the present analytical solutions are superior to other iterative solutions in the literature, and suggest an optimum water thickness for maximizing system productivity.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Energy & Fuels
Gaurav Singh, Ranjan Das
Summary: Air conditioning in composite weather presents challenges and importance resembling various climate conditions. The separation of cooling and ventilation tasks through a dedicated outdoor air system (DOAS) is an attractive technique for designing energy-efficient air-conditioning systems. This study analyzes the electrical energy consumption of a building's air-conditioning unit when modifications are made to the desiccant-integrated DOAS's air pathway. Simulation results demonstrate that using a heat wheel instead of an indirect evaporation cooler (IEC) can save approximately 2994 kWh of thermal energy with a 5.04% reduction in electrical energy consumption. The suggested design also provides a higher solar fraction.
JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME
(2023)
Article
Green & Sustainable Science & Technology
Sunirmit Verma, Ranjan Das
Summary: This study investigates the impact of turbidity in the insulating zone on the optimum dimensions of a turbid solar pond. The results show that turbidity can cause significant alterations in the optimal pond dimensions, regardless of the optimization criterion used.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Energy & Fuels
Sunirmit Verma, Ranjan Das
Summary: This study models a solar pond where thermal energy is extracted from three zones: non-convective zone (NCZ), lower convective zone (LCZ), and the ground below. The heat extraction in each zone is realistic and considers temperature drops across exchanger surfaces. A validated model is developed using implicit finite difference method and sinusoidal time functions to describe weather parameters. The study also evaluates the practical utility of the pond in a desalination application, calculating annual distillate production and studying its variation with adjustable parameters.
Review
Energy & Fuels
Ranjan Das, Sayantan Ganguly
Summary: This paper reviews the advances in simulation and experimental research, practical applications, economic features, challenges, and future prospects of solar ponds, particularly in the context of India. In addition to traditional uses in process heating and salt production, the paper highlights the applications of solar ponds in water distillation and thermoelectric power generation. Important areas for future research and development include electrical power production, crop drying, building cooling and air-conditioning, thermoelectric cooling, and integration with other renewable energy resources.
Article
Energy & Fuels
Alok Ranjan, Ranjan Das, Sameer S. Gajghate, Debabrata Barik, Himadri Majumder, Elaine M. Cardoso, Arindam Majumder, Sagnik Pal, Madhujit Deb
Summary: This paper numerically investigates split hemispherical fins mounted staggered over a base plate. The results show that compared to cylindrical fins, hemispherical fins have higher Nu values and ΔP values. The HTPF values of hemispherical fins are greater than unity for all considered Reynolds numbers. Additionally, the hemispherical fins are split into longitudinal and transverse flow directions for better solid-fluid interaction. Finally, the optimum Nu value is obtained using the cuckoo search algorithm and response surface method, with a promising result and a small error.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Thermodynamics
Sandipan Deb, Mantu Das, Dipak Chandra Das, Sagnik Pal, Ranjan Das, Ajoy Kumar Das
Summary: Experimental investigations were conducted to analyze the evaporation heat transfer of R407c inside a horizontal microfin Cu-tube. The results showed that heat transfer coefficients increase with mass flux, vapor quality, saturation temperature, hydraulic diameter, and heat flux. Additionally, correlations of evaporation heat transfer were established using the interpolation technique in LINGO software.
HEAT AND MASS TRANSFER
(2023)
Article
Thermodynamics
Sandipan Deb, Kanade Paresh Mahesh, Mantu Das, Dipak Chandra Das, Sagnik Pal, Ranjan Das, Ajoy Kumar Das
Summary: The flow boiling heat transfer performance of horizontal smooth and microfin tubes using the refrigerant R407c was investigated. Experimental results showed that the heat transfer rate of the microfin tube is superior to the smooth tube, with a heat transfer enhancement percentage of 28-280%. Additionally, the pressure drop in the microfin tube was increased by 68-110% compared to the smooth tube. A sensitivity analysis was also carried out for flow boiling heat transfer phenomenon via the smooth tube.
INTERNATIONAL JOURNAL OF THERMAL SCIENCES
(2023)
Article
Engineering, Mechanical
Ajithram Arivendan, Winowlin Jappes Jebas Thangiah, Ranjan Das, Desai Ahamad, Gandhapodi Kothandaraman Chithra
Summary: Water hyacinth is a common free-floating aquatic plant with fast growth and extensive spread. The government has invested a significant amount of money to remove it as it is considered waste. This paper discusses the effective use of water hyacinth in wastewater treatment, converting it into fiber and producing a composite material. Tests have shown that the water hyacinth fiber reinforced composite has high tensile strength, flexural strength, and impact strength. The results suggest that water hyacinth can be better utilized in the production of commercial household applications and lightweight materials.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
(2023)
Article
Engineering, Mechanical
Alok Ranjan, Ranjan Das, Sagnik Pal, Arindam Majumder, Madhujit Deb
Summary: This paper investigates the thermal and fluid flow behavior of porous and non-porous fins. The study includes analysis and validation of solid heat sink with circular fins, as well as making circular tapered porous fin of the same volume and height as the uniform circular fin. The study considers various geometrical parameters and evaluates the value of Nusselt number, friction factor, and thermal performance factor. The optimized combination is obtained through cuckoo search optimization using the response surface method.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART E-JOURNAL OF PROCESS MECHANICAL ENGINEERING
(2023)
Article
Energy & Fuels
Sunirmit Verma, Chetan Aggarwal, Ranjan Das
Summary: In this study, a waste heat exchanger with a thick separating wall is proposed to store waste heat energy and use it when waste heat is not available. The effects of various user-controlled parameters on the system performance have been investigated. It is observed that increasing the exchanger length, width, thicknesses of the separating wall and cold fluid flow passage reduce the outlet cold fluid temperature during the time waste heat is available, while the opposite effect is exhibited when waste heat is unavailable.
JOURNAL OF ENERGY STORAGE
(2023)
Article
Energy & Fuels
Alok Ranjan, Ranjan Das, Debabrata Barik, Sagnik Pal, Arindam Majumder, Madhujit Deb, Milon Selvam Dennison
Summary: Researchers are investigating the infusion of various fin geometry over the heated plate to enhance the heat transfer phenomenon. The study numerically analyzes the fluid flow pattern and thermodynamic analysis of porous-based split elliptical fins mounted staggered over a heated base plate, with Reynolds numbers ranging from 783 to 1839.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Jin Zhang, Zekang Bian, Shitong Wang
Summary: This study proposes a novel style linear k-nearest neighbor method to extract stylistic features using matrix expressions and improve the generalizability of the predictor through style membership vectors.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Qifeng Wan, Xuanhua Xu, Jing Han
Summary: In this study, we propose an innovative approach for dimensionality reduction in large-scale group decision-making scenarios that targets linguistic preferences. The method combines TF-IDF feature similarity and information loss entropy to address challenges in decision-making with a large number of decision makers.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Hegui Zhu, Yuchen Ren, Chong Liu, Xiaoyan Sui, Libo Zhang
Summary: This paper proposes an adversarial attack method based on frequency information, which optimizes the imperceptibility and transferability of adversarial examples in white-box and black-box scenarios respectively. Experimental results validate the superiority of the proposed method and its application in real-world online model evaluation reveals their vulnerability.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Jing Tang, Xinwang Liu, Weizhong Wang
Summary: This paper proposes a hybrid generalized TODIM approach in the Fine-Kinney framework to evaluate occupational health and safety hazards. The approach integrates CRP, dynamic SIN, and PLTSs to handle opinion interactions and incomplete opinions among decision makers. The efficiency and rationality of the proposed approach are demonstrated through a numerical example, comparison, and sensitivity studies.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Shigen Shen, Chenpeng Cai, Zhenwei Li, Yizhou Shen, Guowen Wu, Shui Yu
Summary: To address the damage caused by zero-day attacks on SIoT systems, researchers propose a heuristic learning intrusion detection system named DQN-HIDS. By integrating Deep Q-Networks (DQN) into the system, DQN-HIDS gradually improves its ability to identify malicious traffic and reduces resource workloads. Experiments demonstrate the superior performance of DQN-HIDS in terms of workload, delayed sample queue, rewards, and classifier accuracy.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Song Deng, Qianliang Li, Renjie Dai, Siming Wei, Di Wu, Yi He, Xindong Wu
Summary: In this paper, we propose a Chinese text classification algorithm based on deep active learning for the power system, which addresses the challenge of specialized text classification. By applying a hierarchical confidence strategy, our model achieves higher classification accuracy with fewer labeled training data.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Kaan Deveci, Onder Guler
Summary: This study proves the lack of robustness in nonlinear IF distance functions for ranking intuitionistic fuzzy sets (IFS) and proposes an alternative ranking method based on hypervolume metric. Additionally, the suggested method is extended as a new multi-criteria decision making method called HEART, which is applied to evaluate Turkey's energy alternatives.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Fu-Wing Yu, Wai-Tung Ho, Chak-Fung Jeff Wong
Summary: This research aims to enhance the energy management in commercial building air-conditioning systems, specifically focusing on chillers. Ridge regression is found to outperform lasso and elastic net regression when optimized with the appropriate hyperparameter, making it the most suitable method for modeling the system coefficient of performance (SCOP). The key variables that strongly influence SCOP include part load ratios, the operating numbers of chillers and pumps, and the temperatures of chilled water and condenser water. Additionally, July is identified as the month with the highest potential for performance improvement. This study introduces a novel approach that balances feature selection, model accuracy, and optimal tuning of hyperparameters, highlighting the significance of a generic and simplified chiller system model in evaluating energy management opportunities for sustainable operation. The findings from this research can guide future efforts towards more energy-efficient and sustainable operations in commercial buildings.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Xiaoyan Chen, Yilin Sun, Qiuju Zhang, Xuesong Dai, Shen Tian, Yongxin Guo
Summary: In this study, a method for dynamically non-destructive grasping of thin-skinned fruits is proposed. It utilizes a multi-modal depth fusion convolutional neural network for image processing and segmentation, and combines the evaluation mechanism of optimal grasping stability and the forward-looking non-destructive grasp control algorithm. The proposed method greatly improves the comprehensive performance of grasping delicate fruits using flexible hands.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Yuxuan Yang, Siyuan Zhou, He Weng, Dongjing Wang, Xin Zhang, Dongjin Yu, Shuiguang Deng
Summary: The study proposes a novel model, POIGDE, which addresses the challenges of data sparsity and elusive motives by solving graph differential equations to capture continuous variation of users' interests. The model learns interest transference dynamics using a time-serial graph and an interval-aware attention mechanism, and applies Siamese learning to directly learn from label representations for predicting future POI visits. The model outperforms state-of-the-art models on real-world datasets, showing potential in the POI recommendation domain.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
S. Karthika, P. Rathika
Summary: The widespread development of monitoring devices in the power system has generated a large amount of power consumption data. Storing and transmitting this data has become a significant challenge. This paper proposes an adaptive data compression algorithm based on the discrete wavelet transform (DWT) for power system applications. It utilizes multi-objective particle swarm optimization (MO-PSO) to select the optimal threshold. The algorithm has been tested and outperforms other existing algorithms.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Jiaqi Guo, Haiyan Wu, Xiaolei Chen, Weiguo Lin
Summary: In this study, an adaptive SV-Borderline SMOTE-SVM algorithm is proposed to address the challenge of imbalanced data classification. The algorithm maps the data into kernel space using SVM and identifies support vectors, then generates new samples based on the neighbors of these support vectors. Extensive experiments show that this method is more effective than other approaches in imbalanced data classification.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Qiumei Zheng, Linkang Xu, Fenghua Wang, Yongqi Xu, Chao Lin, Guoqiang Zhang
Summary: This paper proposes a new semantic segmentation network model called HilbertSCNet, which combines the Hilbert curve traversal and the dual pathway idea to design a new spatial computation module to address the problem of loss of information for small targets in high-resolution images. The experiments show that the proposed network performs well in the segmentation of small targets in high-resolution maps such as drone aerial photography.
APPLIED SOFT COMPUTING
(2024)
Article
Computer Science, Artificial Intelligence
Mojtaba Ashour, Amir Mahdiyar
Summary: Analytic Hierarchy Process (AHP) is a widely applied technique in multi-criteria decision-making problems, but the sheer number of AHP methods presents challenges for scholars and practitioners in selecting the most suitable method. This paper reviews articles published between 2010 and 2023 proposing hybrid, improved, or modified AHP methods, classifies them based on their contributions, and provides a comprehensive summary table and roadmap to guide the method selection process.
APPLIED SOFT COMPUTING
(2024)
Review
Computer Science, Artificial Intelligence
Gerardo Humberto Valencia-Rivera, Maria Torcoroma Benavides-Robles, Alonso Vela Morales, Ivan Amaya, Jorge M. Cruz-Duarte, Jose Carlos Ortiz-Bayliss, Juan Gabriel Avina-Cervantes
Summary: Electric power system applications are complex optimization problems. Most literature reviews focus on studying electrical paradigms using different optimization techniques, but there is a lack of review on Metaheuristics (MHs) in these applications. Our work provides an overview of the paradigms underlying such applications and analyzes the most commonly used MHs and their search operators. We also discover a strong synergy between the Renewable Energies paradigm and other paradigms, and a significant interest in Load-Forecasting optimization problems. Based on our findings, we provide helpful recommendations for current challenges and potential research paths to support further development in this field.
APPLIED SOFT COMPUTING
(2024)
