no code implementations • 9 Mar 2024 • Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi, Pratyush Chakraborty, Chandrashekhar Narayan Bhende, Pradeep Kumar Yemula, Mayukha Pal
We use simulated data for electrical distribution systems with various types of electrical faults.
no code implementations • 9 Mar 2024 • Victor Sam Moses Babu K., Sidharthenee Nayak, Divyanshi Dwivedi, Pratyush Chakraborty, Chandrashekhar Narayan Bhende, Pradeep Kumar Yemula, Mayukha Pal
First, we employ HLLE to transform high-dimensional (HD) electrical data into low-dimensional (LD) embedding coordinates.
no code implementations • 3 Jan 2024 • Mitikiri Sagar Babu, Yash Tiwari, Vedantham Lakshmi Srinivas, Mayukha Pal
With the increase in the number of electric vehicles (EV), there is a need for the development of the EV charging infrastructure (EVCI) to facilitate fast charging, thereby mitigating the EV congestion at charging stations.
no code implementations • 3 Jan 2024 • G Hari Krishna, K. Victor Sam Moses Babu, Divyanshi Dwivedi, Pratyush Chakraborty, Pradeep Kumar Yemula, Mayukha Pal
Also, the possibility of energy sharing in electrical distribution systems for microgrids and EVCI on various energy-sharing methods and algorithms are discussed in detail.
no code implementations • 28 Nov 2023 • Kriti Thakur, Divyanshi Dwivedi, K. Victor Sam Moses Babu, Alivelu Manga Parimi, Pradeep Kumar Yemula, Pratyush Chakraborty, Mayukha Pal
This comprehensive review paper provides a thorough examination of current advancements and research in the field of arc fault detection for electrical distribution systems.
no code implementations • 15 Nov 2023 • Sagar Babu Mitikiri, K. Victor Sam Moses Babu, Divyanshi Dwivedi, Vedantham Lakshmi Srinivas, Pratyush Chakraborty, Pradeep Kumar Yemula, Mayukha Pal
The increasing number of electric vehicles (EVs) has led to the growing need to establish EV charging infrastructures (EVCIs) with fast charging capabilities to reduce congestion at the EV charging stations (EVCS) and also provide alternative solutions for EV owners without residential charging facilities.
no code implementations • 31 Mar 2023 • K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal
The rapid growth of wind power generation has led to increased interest in understanding and mitigating the adverse effects of wind turbine wakes and forced oscillations in wind farms.
no code implementations • 31 Mar 2023 • Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
The expansion in technology and attainability of a large number of sensors has led to a huge amount of real-time streaming data.
no code implementations • 17 Mar 2023 • Bhaswati Singha Deo, Mayukha Pal, Prasanta K. Panigarhi, Asima Pradhan
This study proposes a cross-attention-based Transfomer approach for the reliable classification of cervical cancer in Pap smear images.
no code implementations • 16 Mar 2023 • K. Victor Sam Moses Babu, Divyanshi Dwivedi, Pratyush Chakraborty, Pradeep Kumar Yemula, Mayukha Pal
The adoption of distributed energy resources (DERs) such as solar panels and wind turbines is transforming the traditional energy grid into a more decentralized system, where microgrids are emerging as a key concept.
no code implementations • 17 Jan 2023 • K. Victor Sam Moses Babu, Pratyush Chakraborty, Mayukha Pal
Using the proposed method, the results obtained validate the optimal location of 5 EVCIs (each having 20 EVCSs with a 50kWh charger rating) resulting in a minimum power loss of 201. 40 kW and squared voltage deviations of 0. 0182 p. u.
no code implementations • 30 Dec 2022 • Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
In this paper, we use an unsupervised deep-learning image segmentation model for the detection of internal faults such as hot spots and snail trails in PV panels.
no code implementations • 16 Dec 2022 • Siddharth Patwardhan, Utso Majumder, Aditya Das Sarma, Mayukha Pal, Divyanshi Dwivedi, Prasanta K. Panigrahi
The percolation threshold is an important measure to determine the inherent rigidity of large networks.
no code implementations • 5 Dec 2022 • Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula, Pratyush Chakraborty, Mayukha Pal
Several researchers have developed models to implement energy trading in the P2P network with DERs that enables prosumers to avail cost benefits.
no code implementations • 23 Nov 2022 • Divyanshi Dwivedi, K. Victor Sam Moses Babu, Pradeep Kumar Yemula, Pratyush Chakraborty, Mayukha Pal
The global generation of renewable energy has rapidly increased, primarily due to the installation of large-scale renewable energy power plants.
no code implementations • 10 Oct 2022 • P. Sai Ram Aditya, Mayukha Pal
There are variety of frameworks using explainable AI (XAI) methods to demonstrate explainability and interpretability of ML models to make their predictions more trustworthy.
no code implementations • 24 Aug 2022 • Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
For these correlated networks, computed the network parameters such as clustering coefficient, assortative coefficient, average degree and power law exponent for the anticipation; and percolation threshold for the determination of the network withstand capability under extreme conditions.
no code implementations • 24 Aug 2022 • D Maneesh Reddy, Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
The results show a 20. 45% improvement in the resilience of the system due to the optimal allocation of DERs.