Anuj Banshwar
Anuj Banshwar has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
Naveen Kumar Sharma
IKG Punjab Technical University, Main Campus
5 shared publicationsBharat Bhushan Sharma
School of Automation, Banasthali Vidyapith
3 shared publicationsRajnish Shrivastava
3 shared publicationsYog Raj Sood
3 shared publicationsMohit Pathak
Noida Institute of Engineering & Technology
2 shared publicationsAman Joshi
Department of Physics National Institute of Technology Kurukshetra, Kurukshetra, India
1 shared publication
Latest Publications
- Open Access
- 1 January 2024
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 2900 (1) , 020027
Acoustic perception of low and high frequency with noise
Acoustic Perception (AP) is a crucial component of human sound study. The AP plays an important role in human performance in a variety of situations. The abilit Acoustic Perception (AP) is a crucial component of human sound study. The AP plays an important role in human performance in a variety of situations. The abilit
- 1 January 2024
- Published by AIP Publishing in AIP Conference Proceedings
- Vol. 2900 (1) , 020027
Open AccessAcoustic perception of low and high frequency with noise
Acoustic Perception (AP) is a crucial component of human sound study. The AP plays an important role in human performance in a variety of situations. The abilit Acoustic Perception (AP) is a crucial component of human sound study. The AP plays an important role in human performance in a variety of situations. The abilit
- 2 July 2021
- Published by Springer Nature
- p. 173-181
Fuzzy-Based Modeling of Photovoltaic Power Loss Due to Soiling Based on Ecological Parameters
- 2 July 2021
- Published by Springer Nature
- p. 173-181
Fuzzy-Based Modeling of Photovoltaic Power Loss Due to Soiling Based on Ecological Parameters
- 5 November 2020
- Published by Springer Nature
- p. 29-37
Probabilistic Approach for Load Flow Analysis of Radial Distribution System
- 5 November 2020
- Published by Springer Nature
- p. 29-37
Probabilistic Approach for Load Flow Analysis of Radial Distribution System
- 1 May 2019
- Published by Elsevier in Renewable Energy
- Vol. 135, 326-344
Market-based participation of energy storage scheme to support renewable energy sources for the procurement of energy and spinning reserve
- 1 May 2019
- Published by Elsevier in Renewable Energy
- Vol. 135, 326-344
Market-based participation of energy storage scheme to support renewable energy sources for the procurement of energy and spinning reserve
- 1 February 2019
- Published by Ram Arti Publishers in International Journal of Mathematical, Engineering and Management Sciences
- Vol. 4 (1) , 77-84
Simulation Based Elevator Group Control System for Multi-Storey Building
In this work fuzzy logic based controller for Elevator Group Control System (EGCS) is proposed. The most complex problem is to control the multi-elevator in a multi-storey building and there are different approaches to solve the problem. The approach used based on the Simulink model and the fuzzy logic controller which is proposed to choose the most appropriate elevator for a hall call generated by passenger/user. The simulation was carried out by giving the input which was used to calculate the input for fuzzy logic controller. The data obtained from the simulation model and the input source provided to the fuzzy based controller priority of each elevator car can be calculated. The maximum priority elevator car is responded for its hall call operation. The input was based on hall call assignment method. This work can assist in analyzing the performance of the Elevators.
- 1 February 2019
- Published by Ram Arti Publishers in International Journal of Mathematical, Engineering and Management Sciences
- Vol. 4 (1) , 77-84
Simulation Based Elevator Group Control System for Multi-Storey Building
In this work fuzzy logic based controller for Elevator Group Control System (EGCS) is proposed. The most complex problem is to control the multi-elevator in a multi-storey building and there are different approaches to solve the problem. The approach used based on the Simulink model and the fuzzy logic controller which is proposed to choose the most appropriate elevator for a hall call generated by passenger/user. The simulation was carried out by giving the input which was used to calculate the input for fuzzy logic controller. The data obtained from the simulation model and the input source provided to the fuzzy based controller priority of each elevator car can be calculated. The maximum priority elevator car is responded for its hall call operation. The input was based on hall call assignment method. This work can assist in analyzing the performance of the Elevators.
- 24 July 2018
- Published by SAGE Publications in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
- Vol. 35 (5) , 4963-4969
Mixed GA-OPF based optimal procurement of energy and operating reserve in deregulated environment
Ancillary Services (AS) plays a vital role in a deregulated environment because these services act as the frontier of a power system. It helps to maintain the quality and safety of the supply. Operating Reserve (OR), as an important AS, has been considered in this work. This paper proposed a mixed Genetic Algorithm (GA)-Optimal Power Flow (OPF) mechanism can act as an effective tool for procurement of different services like energy and AS. The sequential clearing technique has been considered for procurement of Energy and OR an objective of cost minimization. Herein, the EM is cleared first in Energy Market (EM) followed by clearing of Operating Reserve Market (ORM). The proposed approach for obtaining the required service using mixed GA-OPF approach has been investigated by considering modified IEEE-30 bus test system.
- 24 July 2018
- Published by SAGE Publications in Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
- Vol. 35 (5) , 4963-4969
Mixed GA-OPF based optimal procurement of energy and operating reserve in deregulated environment
Ancillary Services (AS) plays a vital role in a deregulated environment because these services act as the frontier of a power system. It helps to maintain the quality and safety of the supply. Operating Reserve (OR), as an important AS, has been considered in this work. This paper proposed a mixed Genetic Algorithm (GA)-Optimal Power Flow (OPF) mechanism can act as an effective tool for procurement of different services like energy and AS. The sequential clearing technique has been considered for procurement of Energy and OR an objective of cost minimization. Herein, the EM is cleared first in Energy Market (EM) followed by clearing of Operating Reserve Market (ORM). The proposed approach for obtaining the required service using mixed GA-OPF approach has been investigated by considering modified IEEE-30 bus test system.
- 1 December 2017
- Published by Elsevier in Energy Strategy Reviews
- Vol. 18, 106-120
Renewable energy sources as a new participant in ancillary service markets
- 1 December 2017
- Published by Elsevier in Energy Strategy Reviews
- Vol. 18, 106-120
Renewable energy sources as a new participant in ancillary service markets