Dr. MUKESH KUMAR

Sr. Scientist, Centre of Excellence for Intelligent Sensors and Systems (ISenS)

Energy Management System, Non-Intrusive Load Monitoring, Machine Learning, Renewable Energy, Power E

Current Work Area

I broadly work on energy sustainability problems. My research statement would give you a flavour of my work. My work focuses on energy data analytics, energy management system, intelligent building energy management, and non-intrusive load monitoring which lies at the intersection of instrumentation engineering, electrical engineering, and data science.
  • Intelligent Energy Management System (i-EMS)
  • Intelligent Building Energy Management System (i-BEMS)
  • Non-Intrusive Load monitoring (NILM)
  • Structural/Building Thermal Monitoring System
  • Energy Data Analytics

Qualification

• B.Tech (Electrical & Electrical Engineering)- (2008-2012)
• M.Tech (Renewable Energy- Academy of Scientific and Innovative Research (AcSIR)) (2013-2015)

R&D Interest

  1. Non-Intrusive Load Monitoring: Energy disaggregation, Anomaly detection, Effective energy management
  2. Intelligent Building Energy Management System: IoT & cloud based environmental parameters, energy parameters and control nodes, webpage for monitoring & controlling
  3. Smart Energy Meter for Mass Housing: 8k Sampling based energy metering with add on features
  4. Energy Data Analytics: AI/ML/DL based data analysis
  5. Non-Intrusive Load Monitoring for Solar Wind Hybrid: features based power import/export energy disaggregation, deep learning based solar/wind power extraction
  6. IoT enabled Temperature profile monitoring for building: Real time monitoring and analysis
  7. IoT enabled performance monitoring of grid connected solar PV system using AI/ML approach

Research Publications

1. GOPINATH R., KUMAR MUKESH. DeepEdge-NILM: A case study of non-intrusive load monitoring edge device in commercial building. Energy and Buildings. 01-09-2023, 294, 113226
2. KUMAR MUKESH, GOPINATH R., HARIKRISHNA P, SRINIVAS KOTA. Non-intrusive load monitoring system for similar loads identification using feature mapping and deep learning techniques. Measurement Science and Technology. 27-09-2021, 32, 125902
3. GOPINATH R., KUMAR MUKESH, JOSHUA C. PRAKASH CHANDRA, SRINIVAS KOTA. Energy management using non-intrusive load monitoring techniques – State-of-the-art and future research directions. Sustainable Cities and Society. 01-11-2020, 62, 102411

Patents

Patent(s) Filed
1. A SYSTEM AND METHOD FOR NON INTRUSIVE LOAD MONITORING OF IDENTICAL ELECTRICAL UTILITIES
Country Filed: WO
Application Number: PCT/IN2021/050145   Date of Filing: 16-02-2021
Inventor(s):  KUMAR MUKESH, GOPINATH R., SRINIVAS KOTA, AYYAPPAN G S, P ANAND V


Significant recognition: Awards, Honours and Fellowships

• Received Prestigious Indo-German Science and Technology Centre (IGSTC) Industrial post-doctoral fellowship to carry out research in energy data analytics and NILM in industrial setup in Germany (Host industry: SEnerCon GmbH, Berlin, Germany).
• Secured All India Rank 99 in CSIR-NET 2013
• Secured 1st rank in department merit list in 3rd year of Engg. Exam
• Achieved 3rd position in the University Merit List in 2012

Other Information

Technology (Developed/Transfered/Commercialised) / Software Applications, Algorithms designed/developed/deployed and implemented

Contact



Email:

Kumarmukesh[at]csio[dot]res[dot]in

Telephone:

0172 2657343


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