Jayaprakash Rajasekharan
+4794814929
Elektro E/F, 466, Gløshaugen
About
Profile
Jayaprakash Rajasekharan (Jay) is an Associate Professor at the Department of Electric Power Engineering (IEL) at NTNU. He received the Bachelors in Engineering (B.E.) degree in Electronics and Communication from Madras University, Chennai, India, the Masters in Science (M.Sc.) degree in Communication Engineering from Technical University of Munich, Munich, Germany, and the Doctor of Science (D.Sc.) degree in Signal Processing from Aalto University, Espoo, Finland, in 2003, 2005 and 2016 respectively. The title of his Ph.D. thesis is Modeling Cooperative Behaviour in Smart Grids and Cognitive Radio Systems. Previously, he was a Senior Researcher at the Research and Innovation Department in Smart Innovation Norway, Halden, Norway.
Research Interests
Jay's research activities mainly focus on energy informatics applied to flexibility systems, smart grids, electricity markets, power system balancing, electric vehicles integration and renewable techno-economics.
Research Activities
Contributing to FME research centre NTRANS
Currently participating in IntHydro, COFACTOR, PERSEUS, and ADRENALIN
Past projects include E-LAND, INVADE, E-Regio, EMPOWER and Smart Rural Grid.
Teaching
Course coordinator for TET-4135 on Energy Systems Planning and Operation (Spring)
Course coordinator for ELDI-1001 on Renewable Energy Informatics (Autumn)
Ph.D. and Postdoc Supervision
Main supervisor for:
1. Ida Fuchs: PhD candidate in Digital solar and storage techniques for decentralized power systems (successfully defended on 27.02.2025)
2. Surya Venkatesh Pandiyan: PhD candidate in Advanced informatics for procuring automated flexibility services in balancing markets
3. Synne Krekling Lien: PhD candidate in Data-driven load disaggregation and building load profile classification
4. Rahmathulla Madathi Parambath: PhD candidate in Explainable machine learning for reservoir inflow forecasting
5. Ali Kaboli: PhD candidate in Flexibility aggregation of electric water heaters for distributed grid balancing
6. Jens Kruse-Hansen: PhD candidate in Dynamic allocation of distributed resources in short-term reserve and flexibility markets
Co-supervisor for:
1. Ahmed Idries: PhD candidate in Digital platforms for new services in renewable energy (successfully defended on 15.10.2024)
2. Jinghao Wang: PhD candidate in Optimal forecasting techniques for hydropower scheduling
3. Lasya Priya Kotu: Postdoctoral fellow in Flexibility estimation of cooling systems in retail stores
4. Younes Zahraoui: Postdoctoral fellow in Deamand side flexibility for distribution networks
Research
FME NTRANS
Role of energy systems in the transition to zero-emission society
IntHydro
Intelligent dispatching and optimal operation of cascade hydro power plants based on big spatio-temporal data
COFACTOR
Coincidence factors and peak load of buildings in the Norwegian low carbon society
ADRENALIN
Data-driven applications for optimal energy use
PERSEUS
The PERSEUS Doctoral Programme (DP) aims at fostering the training of highly skilled doctoral researchers in thematic areas of Big Data and Artificial Intelligence, Digital Twins, Internet of Things, Extended Reality and Information and Cyber Security.
Publications
2025
-
Pandiyan, Surya Venkatesh;
Gros, Sebastien Nicolas;
Rajasekharan, Jayaprakash.
(2025)
Physics informed neural network based multi-zone electric water heater modeling for demand response.
Applied Energy
Academic article
2024
-
Fuchs, Ida;
Rajasekharan, Jayaprakash;
Cali, Umit.
(2024)
Decentralization, decarbonization and digitalization in swarm electrification.
Energy for Sustainable Development
Academic literature review
-
Lien, Synne Krekling;
Rajasekharan, Jayaprakash.
(2024)
Automatic standard building category classification from smart meter data – A supervised learning approach.
Energy and Buildings
Academic article
-
Wang, Jinghao;
Yousefi, Mojtaba;
Rajasekharan, Jayaprakash;
Arghandeh, Reza;
Farahmand, Hossein.
(2024)
Exploring the application of machine-learning techniques in the next generation of long-term hydropower-thermal scheduling.
IET Renewable Power Generation
Academic article
2023
-
Lien, Synne Krekling;
Najafi, Behzad;
Rajasekharan, Jayaprakash.
(2023)
Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review.
Lecture Notes in Computer Science (LNCS)
Academic literature review
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2023)
Ecosystem well-being and platform survival in the current energy transition: A case study on the evolution of an EV-charging platform.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Fuchs, Ida;
Balderrama, Sergio;
Quoilin, Sylvain;
Crespo del Granado, Pedro Andres;
Rajasekharan, Jayaprakash.
(2023)
Swarm electrification: Harnessing surplus energy in off-grid solar home systems for universal electricity access.
Energy for Sustainable Development
Academic article
-
Crespo del Granado, Pedro Andres;
Rajasekharan, Jayaprakash;
Pandiyan, Suryavenkatesh;
Tomasgard, Asgeir;
Kara, Güray;
Farahmand, Hossein.
(2023)
Flexibility Characterization, Aggregation, and Market Design Trends with a High Share of Renewables: a Review.
Current Sustainable/Renewable Energy Reports
Academic article
-
Yousefi, Mojtaba;
Wang, Jinghao;
Høivik, Øivind Fandrem;
Rajasekharan, Jayaprakash;
Wierling, August Hubert;
Farahmand, Hossein.
(2023)
Short-term inflow forecasting in a dam-regulated river in Southwest Norway using causal variational mode decomposition.
Scientific Reports
Academic article
-
Fuchs, Ida;
Balderrama, Sergio;
Crespo del Granado, Pedro Andres;
Quoilin, Sylvain;
Rajasekharan, Jayaprakash.
(2023)
Surplus energy in solar home systems as driver for bottom-up grids: When grids emerge from the edge.
IEEE conference proceedings
Academic chapter/article/Conference paper
2022
-
Yousefi, Mojtaba;
Cheng, Xiaomei;
Gazzea, Michele;
Wierling, August Hubert;
Rajasekharan, Jayaprakash;
Helseth, Arild.
(2022)
Day-ahead inflow forecasting using causal empirical decomposition.
Journal of Hydrology
Academic article
-
Pandiyan, Surya Venkatesh;
Rajasekharan, Jayaprakash.
(2022)
Recursive training based physics-inspired neural network for electric water heater modeling.
Energy Informatics
Academic article
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Challenges in platforming and digitizing decentralized energy services.
Energy Informatics
Academic literature review
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Dynamic Capabilities in Electrical Energy Digitalization: A Case from the Norwegian Ecosystem.
Energies
Academic article
-
Fuchs, Ida;
Waitz, Anja Myhre;
Lervik, Kari Thorset;
Völler, Steve;
Midtgård, Ole-Morten;
Rajasekharan, Jayaprakash.
(2022)
Optimal Design and Installation of Solar Home Systems for Bottom-up Grids: Comparative Case Studies from Kenya and Norway.
Academic chapter/article/Conference paper
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Evaluation of Distributed Ledger Technology Implementation in Electrical Energy Service through a Case Study.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
2021
-
Langseth, Ida Erika Witt;
Rajasekharan, Jayaprakash;
Torsæter, Bendik Nybakk.
(2021)
Voltage Support with Reactive Power from Fast Charging Stations with Local Energy Storage and Production.
NTNU
Masters thesis
2014
-
Rajasekharan, Jayaprakash.
(2014)
Optimal Energy Consumption Model for Smart Grid Households With Energy Storage .
IEEE Journal on Selected Topics in Signal Processing
Academic article
Journal publications
-
Pandiyan, Surya Venkatesh;
Gros, Sebastien Nicolas;
Rajasekharan, Jayaprakash.
(2025)
Physics informed neural network based multi-zone electric water heater modeling for demand response.
Applied Energy
Academic article
-
Fuchs, Ida;
Rajasekharan, Jayaprakash;
Cali, Umit.
(2024)
Decentralization, decarbonization and digitalization in swarm electrification.
Energy for Sustainable Development
Academic literature review
-
Lien, Synne Krekling;
Rajasekharan, Jayaprakash.
(2024)
Automatic standard building category classification from smart meter data – A supervised learning approach.
Energy and Buildings
Academic article
-
Wang, Jinghao;
Yousefi, Mojtaba;
Rajasekharan, Jayaprakash;
Arghandeh, Reza;
Farahmand, Hossein.
(2024)
Exploring the application of machine-learning techniques in the next generation of long-term hydropower-thermal scheduling.
IET Renewable Power Generation
Academic article
-
Lien, Synne Krekling;
Najafi, Behzad;
Rajasekharan, Jayaprakash.
(2023)
Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review.
Lecture Notes in Computer Science (LNCS)
Academic literature review
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2023)
Ecosystem well-being and platform survival in the current energy transition: A case study on the evolution of an EV-charging platform.
NIKT: Norsk IKT-konferanse for forskning og utdanning
Academic article
-
Fuchs, Ida;
Balderrama, Sergio;
Quoilin, Sylvain;
Crespo del Granado, Pedro Andres;
Rajasekharan, Jayaprakash.
(2023)
Swarm electrification: Harnessing surplus energy in off-grid solar home systems for universal electricity access.
Energy for Sustainable Development
Academic article
-
Crespo del Granado, Pedro Andres;
Rajasekharan, Jayaprakash;
Pandiyan, Suryavenkatesh;
Tomasgard, Asgeir;
Kara, Güray;
Farahmand, Hossein.
(2023)
Flexibility Characterization, Aggregation, and Market Design Trends with a High Share of Renewables: a Review.
Current Sustainable/Renewable Energy Reports
Academic article
-
Yousefi, Mojtaba;
Wang, Jinghao;
Høivik, Øivind Fandrem;
Rajasekharan, Jayaprakash;
Wierling, August Hubert;
Farahmand, Hossein.
(2023)
Short-term inflow forecasting in a dam-regulated river in Southwest Norway using causal variational mode decomposition.
Scientific Reports
Academic article
-
Yousefi, Mojtaba;
Cheng, Xiaomei;
Gazzea, Michele;
Wierling, August Hubert;
Rajasekharan, Jayaprakash;
Helseth, Arild.
(2022)
Day-ahead inflow forecasting using causal empirical decomposition.
Journal of Hydrology
Academic article
-
Pandiyan, Surya Venkatesh;
Rajasekharan, Jayaprakash.
(2022)
Recursive training based physics-inspired neural network for electric water heater modeling.
Energy Informatics
Academic article
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Challenges in platforming and digitizing decentralized energy services.
Energy Informatics
Academic literature review
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Dynamic Capabilities in Electrical Energy Digitalization: A Case from the Norwegian Ecosystem.
Energies
Academic article
-
Rajasekharan, Jayaprakash.
(2014)
Optimal Energy Consumption Model for Smart Grid Households With Energy Storage .
IEEE Journal on Selected Topics in Signal Processing
Academic article
Part of book/report
-
Fuchs, Ida;
Balderrama, Sergio;
Crespo del Granado, Pedro Andres;
Quoilin, Sylvain;
Rajasekharan, Jayaprakash.
(2023)
Surplus energy in solar home systems as driver for bottom-up grids: When grids emerge from the edge.
IEEE conference proceedings
Academic chapter/article/Conference paper
-
Fuchs, Ida;
Waitz, Anja Myhre;
Lervik, Kari Thorset;
Völler, Steve;
Midtgård, Ole-Morten;
Rajasekharan, Jayaprakash.
(2022)
Optimal Design and Installation of Solar Home Systems for Bottom-up Grids: Comparative Case Studies from Kenya and Norway.
Academic chapter/article/Conference paper
-
Idries, Ahmed Yousif Mohamed;
Krogstie, John;
Rajasekharan, Jayaprakash.
(2022)
Evaluation of Distributed Ledger Technology Implementation in Electrical Energy Service through a Case Study.
IEEE (Institute of Electrical and Electronics Engineers)
Academic chapter/article/Conference paper
Report
-
Langseth, Ida Erika Witt;
Rajasekharan, Jayaprakash;
Torsæter, Bendik Nybakk.
(2021)
Voltage Support with Reactive Power from Fast Charging Stations with Local Energy Storage and Production.
NTNU
Masters thesis
Teaching
Courses
Outreach
2022
-
Academic lectureWang, Jinghao; Yousefi, Mojtaba; Cheng, Xiaomei; Rajasekharan, Jayaprakash; Arghandeh, Reza; Pan, Xueping. (2022) Self-organizing maps for scenario reduction in long-term hydropower scheduling. IEEE IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society , Brussels 2022-10-17 - 2022-10-20
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Academic lectureYang, Shuangshuang; Sun, Xiaorong; Pan, Xueping; Xu, Qijie; Xu, Yi; Farahmand, Hossein. (2022) Multi-objective Day-ahead Scheduling of Regional Integrated Energy Systems Considering Energy Sharing. IEEE 2022 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia) , Shanghai 2022-07-08 - 2022-07-11
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PosterFuchs, Ida; Waitz, Anja Myhre; Lervik, Kari Thorset; Midtgård, Ole-Morten; Völler, Steve; Rajasekharan, Jayaprakash. (2022) Optimal Design and Installation of Solar Home Systems for Bottom-up Grids: Comparative Case Studies from Kenya and Norway. 8th World Conference on Photovoltaic Energy Conversion , Milano 2022-09-26 - 2022-09-30
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LectureLien, Synne Krekling; Rajasekharan, Jayaprakash. (2022) COFACTOR: Machine learning for load segregation . COFACTOR Partnermøte 2022-11-23 -
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Academic lectureIdries, Ahmed Yousif Mohamed; Krogstie, John; Rajasekharan, Jayaprakash. (2022) Evaluation of Distributed Ledger Technology Implementation in Electrical Energy Service through a Case Study. IEEE IEEE International Smart Cities Conference (ISC2) , Paphos 2022-09-26 - 2022-09-29
2021
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LectureRajasekharan, Jayaprakash. (2021) WP2 –Data-driven loaddisaggregation. COFACTOR Kick-off-møte 2021-11-23 -