The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters

Sergio Jurado, Àngela Nebot, Francisco Mugica

2020

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 steps of a prototype are also addressed.

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Paper Citation


in Harvard Style

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 - Volume 1: SIMULTECH, ISBN 978-989-758-444-2, pages 248-254. DOI: 10.5220/0009885802480254


in Bibtex Style

@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 - Volume 1: SIMULTECH,},
year={2020},
pages={248-254},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009885802480254},
isbn={978-989-758-444-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications - Volume 1: SIMULTECH,
TI - The Importance of Robust and Reliable Energy Prediction Models: Next Generation of Smart Meters
SN - 978-989-758-444-2
AU - Jurado S.
AU - Nebot À.
AU - Mugica F.
PY - 2020
SP - 248
EP - 254
DO - 10.5220/0009885802480254