Ashpana Dilawar Shiralkar
@aissmsioit.org
Associate Professor and Head of Electrical Engineering Department
AISSMS Institute of Information Technology Pune
RESEARCH, TEACHING, or OTHER INTERESTS
Electrical and Electronic Engineering, Control and Systems Engineering, Renewable Energy, Sustainability and the Environment, Engineering
Scopus Publications
Scopus Publications
Shashikant Bakre, Ashpana Shiralkar, Sachin V. Shelar, and Suchita Ingle
IEEE
The issues related to conventional generation of electricity arethe matter of concern for power sector today. These include diminishing stock of coal over a period of time, unavailability of good quality coal, non-sustainable issues, ash handling problems etc. Green energy is the alternative to overcome these problems. The green energy is sustainable, renewable and economical. In India, the existing ratio of conventional to non-conventional generation as on 30th June 2022 is 72:28%. It is required to further improve this ratio to the tune of 60:40%. The performance of the green energy systems can be optimized by AI ML based green computing. Under the umbrella of AI, several technologies have been emerged. These technologies are machine learning, deep learning, data analytics, robotics, neural networks, expert systems, fuzzy logic systems, natural language processing, genetic algorithms etc. The green computing can be made more effective through research as regards how to use these technologies. In this paper, a novice techniques of AI ML based green computing have been proposed. Python programming language is used as a back end programming tool. The proposed methods are simple, cost effective and feasible.
Shashikant Bakre, Ashpana Shiralkar, Sachin V. Shelar, and Suchita Ingle
IEEE
The theft of electricity is a matter of concern for the distribution utility today. The Aggregate Technical and Commercial (AT&C) loss of Maharashtra State Electricity Distribution Company is around 20.72% for the year 2020–21. The main cause of such a higher loss is pilferage or theft of electricity. As per statistics given by various distribution utilities, the theft incidences of three phase HT and LT consumers are under control. However, there is a rising trend in tampering of single phase meters. Various methods of theft detection of single phase meters are in existence, however, tampering of meter by inserting the resistive link in parallel with the meter cannot be detected using these conventional methods. In this paper, a novice technique of tamper detection using Artificial Neural Network is proposed. The proposed method is cost effective and feasible.
Dinesh Pansare, Tejashree Mule, Nikita Markad, Ashpana Shiralkar, and Shashikant Bakre
IEEE
The concept of working of virtual meters has been emerged after evolution of IoT technology and cloud computing. In the meanwhile, the neural network models based on Python have also been emerged. In this paper, the concept of artificial neural network based virtual energy meter have been put forward. The logical AND gate based anomaly for virtual meter is presented. Secondly, using neural network based regression method, the novice method for power factor correction have been introduced. The computation of errors and adjustment of synaptic weights has been conducted using Python 3.0 version.
Nilambari V Devarkar, , Mrs. Ashpana Shiralkar, and
Blue Eyes Intelligence Engineering and Sciences Engineering and Sciences Publication - BEIESP
Now a day’s energy conservation is the most important thing in the world wide. The area of traction also take this into the consideration, so they take a step forward to use regenerative energy which is generated through the regenerative braking in the train. This regenerated energy most of the time get wasted in form of heat. Or most of the time it fed back to overhead equipment. Using regenerative braking energy battery energy storage system is charging used in many countries like japan, New Zealand, UK. This paper presents the implementation of a dc dc boost converter which used this regenerated energy in the traction system and boost the voltage of battery energy storage system. This paper presents the improved dc-dc boost converter which can be implemented in future in the Indian railways system. Arduino based PMW dc dc converter used in traction system to charge the battery energy storage system.
Ashpana Shiralkar, Shailaja Kurode, Ruchira Gore, and Bhagyashri Tamhane
Springer Science and Business Media LLC
Ruchira Gore, Ashpana Shiralkar, and Shailaja Kurode
IEEE
This paper presents control of a typical Electro-Hydraulic Servo System (EHSS) using measurable outputs. Detailed modeling of EHSS is described which takes into account the nonlinearities of solenoid coil, hydraulic pressures and spool motion. Two different controllers are proposed using two different surfaces. The two surfaces considered are finite time converging and asymptotically converging respectively. Second order sliding mode approach is used to device the control laws. The method is validated in simulation. Comprehensive comparison of the two controllers is presented.
Ashpana Shiralkar and Shailaja Kurode
Elsevier BV