Publications

Descriptor : A Norwegian Positive Energy Neighbourhood Dataset of Electrical Measurements and Interviews on Energy Practices (NorPEN)

Vavouris Apostolos, Guasselli Fernanda, Stankovic Lina, Stankovic Vladimir, Gram-Hanssen Kirsten, Didierjean Sébastien

IEEE Data Descriptions Vol 1, pp. 113-121 (2024)

https://doi.org/10.1109/IEEEDATA.2024.3483154

Time and money matters for sustainability : Insights on user preferences on renewable energy for electric vehicle charging stations

Du Delong, Vavouris Apostolos, Veisi Omid, Jin Lu, Stevens Gunnar, Stankovic Lina, Stankovic Vladimir, Boden Alexander

MuC '24: Proceedings of Mensch und Computer 2024 Mensch und Computer 24, pp. 269-278 (2024)

https://doi.org/10.1145/3670653.3670677

A complex mixed-methods data-driven energy-centric evaluation of net-positive households

Vavouris Apostolos, Guasselli Fernanda, Stankovic Lina, Stankovic Vladimir, Gram-Hanssen Kirsten, Didierjean Sébastien

Applied Energy Vol 367 (2024)

https://doi.org/10.1016/j.apenergy.2024.123404

Smart energy technologies for the collective : time-shifting, demand reduction and household practices in a Positive Energy Neighbourhood in Norway

Guasselli Fernanda, Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Didierjean Sébastien, Gram-Hanssen Kirsten

Energy Research and Social Science Vol 110 (2024)

https://doi.org/10.1016/j.erss.2024.103436

Integration of drivers' routines into lifecycle assessment of electric vehicles

Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir

Transportation Research Procedia Vol 70, pp. 322-329 (2023)

https://doi.org/10.1016/j.trpro.2023.11.036

Benefits of three-phase metering for load disaggregation

Vavouris Apostolos, Stankovic Lina, Stankovic Vladimir, Shi Jiufeng

Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation BuildSys '22, pp. 393-397 (2022)

https://doi.org/10.1145/3563357.3566149

More publications

Teaching

EE106: Engineering Desing For Software Development - Python programming (1st Year, 1st & 2nd Semester)

EE320: Signals And Communications Systems

EE470: Information Transmission And Security

Research Interests

• Smart meter energy analytics, including load disaggregation, prediction and profiling
• Non-intrusive Load Monitoring, residential and commercial
• Forecasting elecctricity supply and demand
• Improving scheduling and flexible demand
• Decarbonisiation of the agricultural and dairy sector
• Electric vehicles
• Building optimisation
• Predicting carbon price in markets
• Climate investment

Professional Activities

Learn at Lunch: Efficient load scheduling for dairy farms with renewable energy provision

Invited speaker

23/4/2025

The Alan Turing Institute January 2025 Data Study Group

Participant

20/1/2025

9th Electric Vehicle Conference

Participant

9/10/2024

User-centric insights from low-frequency smart meter data analysis towards flexibility potential

Presenter

8/5/2024

Efficient load scheduling for dairy farms with renewable energy provision

Speaker

1/5/2024

Cow in the loop

Contributor

30/4/2024

More professional activities

Projects

Digital Dairy Chain Innovation Voucher: An AI data-driven reporting dashboard for the dairy sector

Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)

This project will develop a cost-effective (by leveraging on bespoke open-source agri software) AI-powered energy analytics dashboard designed for dairy farms, integrating real-time and historical energy data to provide automated insights into consumption, renewable generation, and cost/carbon-savings opportunities. By leveraging machine learning, the system will identify inefficiencies, predict energy demand, and recommend optimisation strategies to reduce costs and carbon footprint. The dashboard will process data from smart meters, IoT devices, and renewables, offering actionable insights through a user-friendly interface. Farm owners will receive data-driven recommendations to maximise renewable energy use, optimise time of use, and enhance overall efficiency. Further to that, the dashboard will support recommendations for installing energy saving technologies, altering processes or equipment to save energy and reduce their carbon impact. This innovative solution aims to streamline energy management in dairy farming, supporting sustainability and financial savings through AI-driven decision-making.

01-Jan-2025 - 30-Jan-2025

Digital Dairy Chain Innovation Voucher: Project Drum - Beckside farm energy balancing and surplus exporting potential under a community led scheme

Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher)

In this project the optimal exploitation of the renewable energy surplus (solar/hydro) in dairy farms will be explored together with possibilities for load shifting in order to optimise the energy self-consumption. The exploitation of the available land and roof space for the installation of additional renewables to further increase the passive cash flows of the farm will also be explored, as well as investments in energy storage and diversifying clean energy production to inform further studies on community energy sharing and business models development for energy sharing.

27-Jan-2024 - 31-Jan-2024

Digital Dairy Chain Innovation Voucher: Project Drum - How End Farm, community led RES surplus energy export potential and methane/gas production for self-consumption/export

Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)

The goal of this project is to perform an analysis on the renewable energy exporting potential (wind/solar/anaerobic digester) in order to inform business case models that will explore community energy sharing schemes, battery storage and export, EV charging etc.

27-Jan-2024 - 31-Jan-2024

Digital Dairy Chain Innovation Voucher: Project Drum - Orton Grange farm energy management in a dairy farm with a highly diversified portfolio and RES surplus exporting potential under a community led scheme

Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)

The goal of this project is to perform an analysis on the renewable energy exporting potential from renewable energy sources including solar PV and wind, against the demands of a housed energy intensive pedigree dairy farm milking using a traditional herringbone parlour with a number of diversified businesses including a café, food hall, swimming pool and other retail activities. Through this analysis, energy availability and feasibility of exploiting the energy surplus will be explored in order to inform business models of community energy sharing, battery storage and export, EV charging etc.

27-Jan-2024 - 31-Jan-2024

Digital Dairy Chain Innovation Voucher: Littleton Farm - Exploring diverse renewables portfolio to accelerate net-zero transition

Stankovic, Vladimir (Principal Investigator) Stankovic, Lina (Co-investigator) Vavouris, Apostolos (Researcher) Sobot, Tamara (Researcher)

The goal of this project is to significantly improve energy efficiency of dairy farms with local energy generation by understanding energy demand on the farm and demand flexibilities and provide a set of recommendations such as load shifting, change of practices or processes, upgrade/retrofit or new investments. The methodology will be built leveraging knowledge gained from two dairy farms in the Luce Bay area that are of different scale (small scale ~300 cows to medium-large scale ~1100 cows) with different milking equipment (parallel/rotary parlours), different renewable on-site generation sources including solar and wind power, and hence very different energy demand.

18-Jan-2024 - 31-Jan-2025

Digital Dairy Chain Innovation Voucher: Project Luce - Efficient Load Scheduling for dairy farms with renewable energy provision

Stankovic, Lina (Principal Investigator) Stankovic, Vladimir (Co-investigator) Vavouris, Apostolos (Researcher)

Provide optimised load scheduling to maximise on-site renewable (solar/wind) self-consumption & explore the viability/feasibility of creating a micro farm grid that will link different premises (dairies/piggeries).

18-Jan-2024 - 30-Jan-2024

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