Jayaprakash Rajasekharan

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 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

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

Co-supervisor for:

1. Ahmed Idries: PhD candidate in Digital platforms for new services in renewable energy

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

Research

Publications

2023

Crespo del Granado, Pedro Andres; Rajasekharan, Jayaprakash; Pandiyan, Surya Venkatesh; 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
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
Najafi, Behzad; Rajasekharan, Jayaprakash. (2023) Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review . Lecture Notes in Computer Science (LNCS)
Academic article

2022

Idries, Ahmed Yousif Mohamed; Krogstie, John; Rajasekharan, Jayaprakash. (2022) Dynamic Capabilities in Electrical Energy Digitalization: A Case from the Norwegian Ecosystem. Energies
Academic article
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
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
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
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

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

Crespo del Granado, Pedro Andres; Rajasekharan, Jayaprakash; Pandiyan, Surya Venkatesh; 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; 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
Najafi, Behzad; Rajasekharan, Jayaprakash. (2023) Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review . Lecture Notes in Computer Science (LNCS)
Academic article
Idries, Ahmed Yousif Mohamed; Krogstie, John; Rajasekharan, Jayaprakash. (2022) Dynamic Capabilities in Electrical Energy Digitalization: A Case from the Norwegian Ecosystem. Energies
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
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
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
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
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

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

Media

2022

Lecture

Lien, Synne Krekling; Rajasekharan, Jayaprakash. (2022) COFACTOR: Machine learning for load segregation . COFACTOR Partnermøte 2022-11-23 -
Academic lecture

Idries, 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
Poster

Fuchs, 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
Academic lecture

Yang, 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
Academic lecture

Wang, 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

2021

Lecture

Rajasekharan, Jayaprakash. (2021) WP2 –Data-driven loaddisaggregation. COFACTOR Kick-off-møte 2021-11-23 -

Språkvelger

Jayaprakash Rajasekharan