Peer reviewed publications

Otte, L., Schöne, N., Flessa, A., Fragkos, P., & Heinz, B. (2024). Costs and Benefits of Citizen Participation in the Energy Transition: Investigating the Economic Viability of Prosumers on Islands—The Case of Mayotte. Energies, 17(12), 2904.

Djebali, S., Guerard, G., & Taleb, I. (2024). Survey and insights on digital twins design and smart grid’s applications. Future Generation Computer Systems, 153, 234–248.

Flessa, A., Fragkiadakis, D., Zisarou, E., & Fragkos, P. (2023). Decarbonizing the Energy System of Non-Interconnected Islands: The Case of Mayotte. Energies, 16(6), 2931.
Taleb, I., Guerard, G., Fauberteau, F. and Nguyen, N. (2023). A Holonic Multi-Agent Architecture For Smart Grids. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence – Volume 1: ICAART, 126-134.
Flessa, A., Fragkiadakis, D., Zisarou, E., & Fragkos, P. (2023). Developing an Integrated Energy–Economy Model Framework for Islands. Energies, 16(3), 1275.
Schöne, N., Greilmeier, K., & Heinz, B. (2022). Survey-Based Assessment of the Preferences in Residential Demand Response on the Island of Mayotte.  Energies, 15(4), 1338.
Taleb, I., Guerard, G., Fauberteau, F., & Nguyen, N. (2022). A Flexible Deep Learning Method for Energy Forecasting. Energies, 15(11), 3926.
Guerard, G., Pousseur, H., & Taleb, I. (2021). Isolated Areas Consumption Short-Term Forecasting Method. Energies, 14(23), 7914.

Blog articles by our partners

CyberGrid hosts the MAESHA General Assembly and Review Meeting at EVN – by CyberGrid

Geographical islands: a laboratory for smart grids by Trialog.
Knocking doors for community energy by Hudara
Kick-off for mitigating social and climate problems through energy communities in Mayotte by Hudara.
Community energy for social change by Hudara.
A need for speed to keep the lights on by Centrica Business Solutions.
MAESHA H2020 : 11,8 M € pour des projets de smartgrid à Mayotte et leur réplicabilité dans d’autres îles européennes by TECSOL.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 957843 (MAESHA). This output reflects only the author’s view and the European Union cannot be held responsible for any use that may be made of the information contained therein.

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