Research Guidance
RESEARCH GUIDANCE
Ph.D.
|
Sl.No |
Name of the scholar |
Area of research |
Year of completion |
|
1. |
S Hemamalini |
Novel Optimization Techniques for Economic Scheduling of Generating Units |
Jan’ 2011 |
|
2. |
K Chandrasekaran |
Investigations on Solving Unit Commitment Problem using Swarm Intelligent Techniques |
Dec’ 2012 |
|
3. |
Christopher Columbus |
Certain Investigations on Solving Unit Commitment Problem using Swarm based Parallel Models |
Apr’ 2013 |
|
4. |
S Sreejith |
Scheduling of Thermal Generator Units Incorporating FACTS Devices using Bee Colony Intelligent System |
Jul’ 2013 |
|
5. |
C H Ram Jethmalani |
Investigation on Transmission Loss Estimation Power System Scheduling Problems |
Jan' 2018 |
|
6. |
J Sathiyanarayanan |
Power Quality Improvement in Railways |
Jun'2019 |
|
7. |
T T Anil Kumar |
Hybrid Renewable Energy Systems |
May' 2018 |
|
8. |
M Senthil Kumar |
Investigations on Time-Frequency Transformation Technique for Power Transformer Differential Protection |
Feb' 2018 |
|
9. |
Rohit Rajan Eapen |
Economic Demand Response Management of a Secondary Distribution System |
Apr' 2021 |
|
10. |
Mohammed Mansoor O |
Design, Experimentation, Performance and Feasibility Analysis of Solar Photovoltaic Mirroring System |
Aug' 2021 |
| 11. | Venkateswarlu Gundu | Demand Response Schemes in a Distribution System Using Deep Learning Techniques | Apr' 2022 |
| 12. | Krishna Kumba |
Investigation of Second Order Lever Single Axis Solar Tracking System |
Jun' 2023 |
| 13. | R. Muhammad Ehsan |
Effect of Soiling on Photovoltaic Modules and Its Mitigation Using Hydrophobic Nanocoatings |
Jul' 2023 |
| 14. | Sindhu D Pillai | Renewable Energy | In progress |
| 15. | Sai Kiran | Data-Driven Control and Optimization for a Highly Efficient Distribution Grid | In progress |
| 16. | A.Jothivelu | Smart Grid | In progress |
| 17. | Sarath N | Renewable Energy | In progress |
| 17. | Ajay Kumar Prajapat | Renewable Energy | In progress |
MS by Research
|
Sl.No |
Name of the scholar |
Area of research |
Year of completion |
|
1. |
Kulkarni Santhosh |
Spiking Neural Networks for Forecasting of Electrical Load and Wind Power Generation |
December 2012 |
|
2. |
R Muhammad Eshan |
Solar Power Output Prediction using Neural Networks |
December 2015 |
|
3. |
A Sriram |
Renewable Energy |
December 2017 |
|
4. |
A.Jothivelu |
Smart Grid |
October 2020 |
| 5. | Faresh Khan K H | Renewable Energy | July 2023 |
M.Tech.
|
Sl.No |
Description |
|
1 |
Scheduling of generators using hybrid particle swarm optimization-Lagrangian relaxation Technique, Dec 2007 |
|
2 |
A hybrid PSO-LR for solving new profit based UC problem under competitive environment, May 2008 |
|
3 |
Study of genetic algorithm based economic load dispatch with valve point loadings, Dec 2007 |
|
4 |
Investigation of bio-inspired algorithms for solving economic load dispatch with valve-point effect, May 2008 |
|
5 |
Investigation of back propagation neural network architecture for electrical load forecasting, Dec 2007 |
|
6 |
Artificial neural network based short term load forecasting using back propagation algorithm, May 2008 |
|
7 |
Voltage source converter for static synchronous series compensator, Dec 2008 |
|
8 |
Static synchronous series compensator based on voltage source converter with DSP TMS320LF2407A, May 2010 |
|
9 |
Investigation on price based unit commitment problem using ant colony system, Dec 2009 |
|
10 |
Investigation of price based unit commitment problem using swarm intelligence techniques, May 2010 |
|
11 |
Reliability constrained UCP with transmission system failure using LR method, Dec 2009 |
|
12 |
Reliability constrained unit commitment in regulated and deregulated environment, May 2010 |
|
13 |
Investigations on Optimal Power Flow Solutions using Interline Power Flow Controller (IPFC), Dec 2010 |
|
14 |
Implementation of Spiking Neural Network for XOR Gate, Dec 2010 |
|
15 |
Investigations of Load Flow Analysis of a Power System Network using Unified Power Flow Controller, Dec 2010 |
|
16 |
Investigations on Control of Power Flow in Transmission Line using SSSC, Dec 2010 |
|
17 |
Hybrid Evolutionary Algorithm for Electrical Load Forecasting, May 2011 |
|
18 |
Investigation on Optimal Power Flow Solutions using Interline Power Flow Controller, May 2011 |
|
19 |
Investigation on Control of Power Flow in Transmission Line using SSSC, May 2011 |
|
20 |
Genetic Algorithm based Optimal Power Flow with Unified Power Flow Controller, May 2011 |
|
21 |
Reliability Evaluation of Distribution System with Distributed Generators, Dec 2011 |
|
22 |
Reliability Evaluation of Distribution System Incorporating Distributed Generators and Tie-line, May 2012 |
|
23 |
Thermal Unit commitment Considering Pumped Storage Hydro Electricity Plants, Dec 2012 |
|
24 |
Dynamic Economic Dispatch with A-loss Coefficients Considering Pumped Storage Hydro Electricity Plants, May 2013 |
|
25 |
Short Tern Electrical Load Forecasting Using Hybrid Neural Network, May 2013 |
|
26 |
Integration of Wind-Solar and Pumped Storage Hybrid Generating Units, Dec 2013 |
|
27 |
Investigation of Dynamic Economic Dispatch Problem Using A-Loss Coefficients, Dec 2013 |
|
28 |
Demand Response Management for Peak Load Shaving, Dec 2013 |
|
29 |
Automation of Wind-Solar and Pumped Storage Hybrid Generating Units, May 2014 |
|
30 |
Multi Objective Dynamic Economic Dispatch Problem Using A-Loss Coefficients, May 2014 |
|
31 |
Demand Response Management for Peak Load Shaving, May 2014 |
|
32 |
GSM based Demand Response Management for Peak Load Shaving, Dec 2014 |
|
33 |
Investigation of Dynamic Economic Dispatch Problems using Polynomial Loss Coefficients, Dec 2014 |
|
34 |
Power Control of a Pico-Hydro Turbine and Load Sharing in Hybrid Generating Units, Dec 2014 |
|
35 |
GSM based Demand Response Management for Peak Load Shaving, May 2105 |
|
36 |
Investigation on Neural Network based transmission Loss Estimation, May 2015 |
|
37 |
Fuzzy Logic based Voltage regulation for Pico-Hydro Generator System, May 2015 |
| 38 | Dynamic Line Rating Methodology in a Dynamic Economic Dispatch Problem, Dec 2015 |
| 39 | A Novel Differential Protection for Ttransformer, Dec 2015 |
| 40 | Investigation of D-FACTS for Real and Reactive power compensation of Traction Load, Dec 2015 |
| 41 | Development of Power Line Carrier Communication, Dec 2015 |
| 42 | Dynamic Line Rating Methodology in a Dynamic Economic Dispatch Problem, May 2016 |
| 43 | Implementing Differential Protection for Ttransformer using DSP Processor, May 2016 |
| 44 | Power Quality Improvement in Transmission and Distribution, May 2016 |
| 45 | High Voltage AC DC Load Flow in Electrical Power Network, May 2016 |
| 46 | Development of Fuzzy Logic Based Solar PV Tracking System, Dec 2016 |
| 47 | Neural Network Control of Buck-Boost Converter, Dec 2016 |
| 48 | H6 Transformerless Full Bridge PV Grid-Tied Inverter, Dec 2016 |
| 49 | Day Ahead Forecasting of Output Dc Power for PV Plant Using Forecasted GHI Value and Temperature, Dec 2016 |
| 50 | Fuzzy Logic Based Solar Photovoltaic MPPT With Novel Antecedents, May 2017 |
| 51 | Neural Network Controller for PV Fed Boost Converter, May 2017 |
| 52 | Maximum Power Point Controlling Technique With Boost Converter, May 2017 |
| 53 | Second Harmonic Current Suppression for Standalone Photovoltaic System Using Controlled Intermediate Capacitor,May 2017 |
| 54 | Second Harmonic Current Suppression for Standalone Photovoltaic System Using Controlled Intermediate Capacitor, 2017 |
| 55 | Investigation on Forecasting of Solar Photo VoltaicPower Generation Using Artificial Neural Networks, 2015 |
| 56 | Spiking Neural Network for Forecasting Electrical Load and Wind Power Generation, 2013 |
| 57 | Artificial Neural Network-Based Maximum Power Point and Dual Axis Solar Tracking Method for Photovoltaic System, 2018 |
| 58 | Optimal Unit Commitment Problem Using PSO, 2019 |
| 59 | Optimal Thermal Unit Commitment Problem for Solving Duck Curve Problem Using PSO, 2019 |
| 60 | Home Energy Management System, 2019 |
| 61 | Performance Analysis and Temperature Control of PV Module Using Paraffin Wax, 2019 |
| 62 | Wireless Monitoring of Battery Parameters, 2019 |
| 63 | Constant Current Electric Arc Welding Using PID Controller, 2020 |
| 64 | Cell Core Temperature Estimation of EV/EHV Battery Pack, 2020 |
| 65 | Bridgeless Boost Plus SEPIC PFC for on-Board Charging Application of EV, 2020 |
| 66 | Modelling of Hybrid Energy Storage System for Electric Vehicle, 2021 |
| 67 | Design and Fabrication of Smart Home With IoT Enabled Automation System, 2021 |
| 68 | IoT Based Smart Base Transceiver System |
B. Tech Projects
|
Sl.No |
Description |
|
1 |
Dynamic Demand Based Frequency Module for Refrigerator, 2017 |
|
2 |
Domestic Load Management Through Demand Response using IoT, 2017 |
|
3 |
Control ARM Mechanism for Magnetic Motor, 2016 |
| 4 |
Design of Unconventional Energy Harvesting From a Bicycle, 2016 |
| 5 |
Automated Onion Peeler and Chopper, 2016 |
| 6 |
Development of Power Electronics Tools for SCILAB, 2015 |
| 7 |
Intelligent Control of Air-Conditioner Loads Through IR, 2015 |
| 8 |
Electric Power Utility Services Through Cloud Computing, 2014 |
| 9 |
Control of Electric Devices Through GSM, 2013 |
| 10 | Several Hour Ahead Electricity Price and Load Forecasting Using Artificial Neural Network, 2013 |
| 11 |
Swarm Intelligent Based System for Grid Exploration, 2012 |
| 12 | Speed Control of DC Motor Using Fuzzy System, 2012 |
| 13 | Smart Energy Meter, 2011 |
| 14 |
Implementation of ACO Based TSP Through Distributed Computing, 2009 |
| 15 |
Pattern Recognition Using Artificial Neural Networks and Artificial Immune System With Hardware Display Model, 2007 |
| 16 | Digital Hardware Design, Simulation, and Analysis of a Single Layer Perceptron Neural Network Model -family, 2007 |
| 17 | Lora Based Home Automation, 2019 |
| 18 | A Comprehensive Study of Second and Third Generation Neural Network for Short Term Electricity Price Forecasting, 2019 |
| 19 | Facial Emotion Detection Using Deep Learning, 2020 |
| 20 | Auto Attendance Using Facial Recognition, 2020 |
| 21 | Short Term Electricity Price Forecasting Using Deep Learning Neural Networks, 2021 |