Institution
Dr. B.C. Roy Engineering College, Durgapur
About: Dr. B.C. Roy Engineering College, Durgapur is a based out in . It is known for research contribution in the topics: Electric power system & Wireless sensor network. The organization has 385 authors who have published 683 publications receiving 7213 citations.
Topics: Electric power system, Wireless sensor network, Microstrip antenna, Particle swarm optimization, Antenna (radio)
Papers published on a yearly basis
Papers
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01 Feb 2014TL;DR: The ability to continually change and learning capability is the driving power of NFS methodologies and will be the key for future intelligent applications.
Abstract: This paper surveys neuro fuzzy systems (NFS) development using classification and literature review of articles for the last decade (2002-2012) to explore how various NFS methodologies have been developed during this period. Based on the selected journals of different NFS applications and different online database of NFS, this article surveys and classifies NFS applications into ten different categories such as student modeling system, medical system, economic system, electrical and electronics system, traffic control, image processing and feature extraction, manufacturing and system modeling, forecasting and predictions, NFS enhancements and social sciences. For each of these categories, this paper mentions a brief future outline. This review study indicates mainly three types of future development directions for NFS methodologies, domains and article types: (1) NFS methodologies are tending to be developed toward expertise orientation. (2) It is suggested that different social science methodologies could be implemented using NFS as another kind of expert methodology. (3) The ability to continually change and learning capability is the driving power of NFS methodologies and will be the key for future intelligent applications.
286 citations
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TL;DR: Simulation results show that GWO has better tuning capability than CLPSO, EPSDE and other similar population-based optimization techniques.
Abstract: In this article an attempt has been made to solve load frequency control (LFC) problem in an interconnected power system network equipped with classical PI/PID controller using grey wolf optimization (GWO) technique. Initially, proposed algorithm is used for two-area interconnected non-reheat thermal-thermal power system and then the study is extended to three other realistic power systems, viz. (i) two-area multi-units hydro-thermal, (ii) two-area multi-sources power system having thermal, hydro and gas power plants and (iii) three-unequal-area all thermal power system for better validation of the effectiveness of proposed algorithm. The generation rate constraint (GRC) of the steam turbine is included in the system modeling and dynamic stability of aforesaid systems is investigated in the presence of GRC. The controller gains are optimized by using GWO algorithm employing integral time multiplied absolute error (ITAE) based fitness function. Performance of the proposed GWO algorithm has been compared with comprehensive learning particle swarm optimization (CLPSO), ensemble of mutation and crossover strategies and parameters in differential evolution (EPSDE) and other similar meta-heuristic optimization techniques available in literature for similar test system. Moreover, to demonstrate the robustness of proposed GWO algorithm, sensitivity analysis is performed by varying the operating loading conditions and system parameters in the range of ± 50 % . Simulation results show that GWO has better tuning capability than CLPSO, EPSDE and other similar population-based optimization techniques.
260 citations
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TL;DR: The proposed ensemble SVM-based method could be used as an efficient and cost-effective method for sleep staging with the advantage of reducing stress and burden imposed on subjects.
259 citations
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TL;DR: In this article, a teaching learning based optimization (TLBO) approach is proposed to minimize power loss and energy cost by optimal placement of capacitors in radial distribution systems, where learners improve their knowledge or ability through the teaching methodology of teacher and in second part learners increase their knowledge by interactions among themselves.
257 citations
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TL;DR: A novel quasi-oppositional teaching learning based optimization (QOTLBO) methodology in order to find the optimal location of distributed generator to simultaneously optimize power loss, voltage stability index and voltage deviation of radial distribution network is presented.
245 citations
Authors
Showing all 385 results
Name | H-index | Papers | Citations |
---|---|---|---|
Provas Kumar Roy | 36 | 176 | 4123 |
Mahavir Singh | 30 | 92 | 2196 |
Chandan Kumar Ghosh | 26 | 143 | 2424 |
Aniruddha Bhattacharya | 24 | 104 | 3073 |
Hemant A. Patil | 20 | 215 | 1826 |
Anup Kumar Bhattacharjee | 20 | 206 | 1614 |
Sipra Choudhury | 19 | 43 | 875 |
Dakshina Ranjan Kisku | 17 | 120 | 1032 |
Sujit Das | 15 | 42 | 848 |
Amrita Ghosal | 15 | 42 | 676 |
Dipayan Guha | 15 | 48 | 820 |
Subir Halder | 14 | 45 | 636 |
Dipankar Bhanja | 14 | 58 | 727 |
Partha Pratim Bhattacharya | 12 | 67 | 556 |
Arnab Ghosh | 11 | 45 | 419 |