MS
Mayank Saklani
UPES Dehradun/ Electrical Cluster, University of Petroleum and Energy Studies, Dehradun Institute of Technology University, Gurukul Kangri Vishwavidyalaya
About
Mayank Saklani is an Electrical Power Systems researcher working on demand-side management, electric vehicle charging optimization, and renewable energy integration in smart grids. His research focuses on advanced optimization algorithms and intelligent energy management strategies for modern power systems.
Employment
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UPES Dehradun/ Electrical Cluster JRF Ph.D. Scholar2022 - 2025
Education
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University of Petroleum and Energy Studies Ph.D.2022 - 2025
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Dehradun Institute of Technology University M.Tech (Power System)2020 - 2022
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Gurukul Kangri Vishwavidyalaya B. Tech (Electrical)2015 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (10)
- Machine learning and RSM-CCD analysis of sustainable concrete using pine cone waste from pine tree: towards performance and optimization Save
- Clustering of Electric Vehicle Charging Behaviors Using Gaussian Mixture Models for Optimized Load Profiling Save
- Scalable Data-Driven EV Charging Optimization Using HDBSCAN-LP for Real-Time Pricing Load Management Save
- Strategic Pricing and Load Optimization for Effective Demand Side Management in Electric Vehicles Integrated Grid Save
- Navigating the Challenges of EV Integration and Demand-Side Management for India's Sustainable EV Growth Save
- Spatial Analysis and Clustering of Electric Vehicle Density for Charging Infrastructure Planning Save
- Load frequency control of two area power systems using optimised ANFIS controller Save
- A graphical technique of controller design and selection of lower and upper bounds in controller design using optimization techniques Save
- Load Frequency Control of Power System Using Honey Badger Algorithm Save
- New Control Strategy for Load Frequency Control of Single Area Power System using Archimedes Optimization Algorithm Save