37 citations
- ABB (Switzerland)CH2 papers
- Birla Institute of Technology and Science - Hyderabad CampusIN2 papers
- Indian Institute of Technology HyderabadIN2 papers
- Beijing Institute of TechnologyCN1 paper
- Delft University of TechnologyNL1 paper
- GIPSA-LabFR1 paper
- IBM (India)IN1 paper
- Institut National des Sciences Appliquées de LyonFR1 paper
- Laboratoire d'Informatique en Images et Systèmes d'InformationFR1 paper
- National Institute of Technology RourkelaIN1 paper
- Ollscoil na Gaillimhe – University of GalwayIE1 paper
- RMIT UniversityAU1 paper
9 papers
Identification of Forced Oscillation Sources in Wind Farms using E-SINDy
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 fa…
A Resilient Power Distribution System using P2P Energy Sharing
K. Victor Sam Moses Babu, Divyanshi Dwivedi, Pratyush Chakraborty +2
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 micro…
Evaluating the Planning and Operational Resilience of Electrical Distribution Systems with Distributed Energy Resources using Complex Network Theory
Divyanshi Dwivedi, Pradeep Kumar Yemula, Mayukha Pal
Electrical Distribution Systems are extensively penetrated with Distributed Energy Resources (DERs) to cater the energy demands with the general perception that it enhances the sys…
Modeling Operational Fairness of Hybrid Cloud Brokerage
Sreekrishnan Venkateswaran, Santonu Sarkar
Cloud service brokerage is an emerging technology that attempts to simplify the consumption and operation of hybrid clouds. Today's cloud brokers attempt to insulate consumers from…
Enhancing Robustness of On-line Learning Models on Highly Noisy Data
Zilong Zhao, Robert Birke, Rui Han +4
Classification algorithms have been widely adopted to detect anomalies for various systems, e.g., IoT, cloud and face recognition, under the common assumption that the data source…
Using Source Code Metrics and Ensemble Methods for Fault Proneness Prediction
Lov Kumar, Santanu Rath, Ashish Sureka
Software fault prediction model are employed to optimize testing resource allocation by identifying fault-prone classes before testing phases. Several researchers' have validated t…