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Authors: Sergio Jurado ; Àngela Nebot and Francisco Mugica

Affiliation: Soft Computing Research Group at Intelligent Data Science and Artificial Intelligence Research Center, Universitat Politècnica de Catalunya, Barcelona, Spain

Keyword(s): Smart Meter, Fuzzy Inductive Reasoning, Energy Modelling, Trading of Renewable Energy.

Abstract: In this position paper a discussion is performed related to the importance of Energy Prediction Models (EPM) in the context of trading renewable energy in smart grids and the need to develop a new generation of Smart Meters (SMs) based on edge computing. If the electricity currently produced and consumed in the low voltage is expected to grow due to installations of PVs and the electrification of the system, we need to incentivise local energy trading and provide tools to make it possible. Currently, all energy trading mechanisms in the literature heavily rely on predictions, therefore, inaccuracy would be translated in low profitability of prosumer’s investments or even worse, disappointment with the local energy markets. To guarantee robustness and reliability of predictions, we propose Flexible FIR as EPM to be used during the trading process and to integrate them in a Next Generation of SMs (NGSMs). In this document some reflections about new functionalities of NGSMs and first st eps of a prototype are also addressed. (More)

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Paper citation in several formats:
Jurado, S.; Nebot, À. and Mugica, F. (2020). The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters. In Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH; ISBN 978-989-758-444-2; ISSN 2184-2841, SciTePress, pages 248-254. DOI: 10.5220/0009885802480254

@conference{simultech20,
author={Sergio Jurado. and Àngela Nebot. and Francisco Mugica.},
title={The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters},
booktitle={Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH},
year={2020},
pages={248-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009885802480254},
isbn={978-989-758-444-2},
issn={2184-2841},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - SIMULTECH
TI - The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters
SN - 978-989-758-444-2
IS - 2184-2841
AU - Jurado, S.
AU - Nebot, À.
AU - Mugica, F.
PY - 2020
SP - 248
EP - 254
DO - 10.5220/0009885802480254
PB - SciTePress

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