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20132022
most citedSpatio-temporal graph neural networks for multi-site PV power forecasting

260 citations · 329 across the 7 of their papers we have counts for

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5 papers · 1 filter

eess.SY2022

Uncertainty-aware Flexibility Envelope Prediction in Buildings with Controller-agnostic Battery Models

Paul Scharnhorst, Baptiste Schubnel, Rafael E. Carrillo +2

Buildings are a promising source of flexibility for the application of demand response. In this work, we introduce a novel battery model formulation to capture the state evolution…

eess.SY202257 cited

DRT-based modelling framework for Li-ion cells

Pietro Iurilli, Claudio Brivio, Rafael E. Carrillo +1

The correct assessment of battery states is essential to maximize battery pack performances while ensuring reliable and safe operation. This work introduces EIS2MOD, a novel modell…

eess.SY202112 cited

Smart sensors network for accurate indirect heat accounting in apartment buildings

Yves Stauffer, Fabio Saba, Rafael E. Carrillo +3

A new method for accurate indirect heat accounting in apartment buildings has been recently developed by the Centre Suisse d'Electronique et de Microtechnique (CSEM). It is based o…

eess.SY2020

State space models for building control: how deep should you go?

Baptiste Schubnel, Rafael E. Carrillo, Paolo Taddeo +4

Power consumption in buildings show non-linear behaviors that linear models cannot capture whereas recurrent neural networks (RNNs) can. This ability makes RNNs attractive alternat…

eess.SY2020

A hybrid learning method for system identification and optimal control

Baptiste Schubnel, Rafael E. Carrillo, Pierre-Jean Alet +1

We present a three-step method to perform system identification and optimal control of non-linear systems. Our approach is mainly data driven and does not require active excitation…