E-LIB Suche - Ergebnisse für: Brandi, Silvio

1

Real building implementation of a deep reinforcement learni..:

Silvestri, Alberto ; Coraci, Davide ; Brandi, Silvio...
Applied Energy. 368 (2024) - p. 123447 , 2024

Link: https://doi.org/10.1016/..

2

An innovative heterogeneous transfer learning framework to ..:

Coraci, Davide ; Brandi, Silvio ; Hong, Tianzhen.
Building Simulation. 17 (2024) 5 - p. 739-770 , 2024

Link: https://doi.org/10.1007/..

3

Online transfer learning strategy for enhancing the scalabi..:

Coraci, Davide ; Brandi, Silvio ; Hong, Tianzhen.
Applied Energy. 333 (2023) - p. 120598 , 2023

Link: https://doi.org/10.1016/..

4

Effective pre-training of a deep reinforcement learning age..:

Coraci, Davide ; Brandi, Silvio ; Capozzoli, Alfonso
Energy Conversion and Management. 291 (2023) - p. 117303 , 2023

Link: https://doi.org/10.1016/..

5

Ten questions concerning reinforcement learning for buildin..:

Nagy, Zoltan ; Henze, Gregor ; Dey, Sourav...
Building and Environment. 241 (2023) - p. 110435 , 2023

Link: https://doi.org/10.1016/..

6

A predictive and adaptive control strategy to optimize the ..:

Brandi, Silvio ; Gallo, Antonio ; Capozzoli, Alfonso
Energy Reports. 8 (2022) - p. 1550-1567 , 2022

Link: https://doi.org/10.1016/..

7

Comparison of online and offline deep reinforcement learnin..:

Brandi, Silvio ; Fiorentini, Massimo ; Capozzoli, Alfonso
Automation in Construction. 135 (2022) - p. 104128 , 2022

Link: https://doi.org/10.1016/..

8

Energy Management of a Residential Heating System Through D..:

, In: Sustainability in Energy and Buildings 2021; Smart Innovation, Systems and Technologies,

Brandi, Silvio ; Coraci, Davide ; Borello, Davide. - p. 329-339 , 2021

Link: https://doi.org/10.1007/..

9

Online Implementation of a Soft Actor-Critic Agent to Enhan..:

Coraci, Davide ; Brandi, Silvio ; Piscitelli, Marco Savino.
Energies. 14 (2021) 4 - p. 997 , 2021

Link: https://doi.org/10.3390/..

10

A data analytics-based tool for the detection and diagnosis..:

Piscitelli, Marco Savino ; Brandi, Silvio ; Capozzoli, Alfonso.
Building Simulation. 14 (2020) 1 - p. 131-147 , 2020

Link: https://doi.org/10.1007/..

11

Deep reinforcement learning to optimise indoor temperature ..:

Brandi, Silvio ; Piscitelli, Marco Savino ; Martellacci, Marco.
Energy and Buildings. 224 (2020) - p. 110225 , 2020

Link: https://doi.org/10.1016/..

12

Recognition and classification of typical load profiles in ..:

Piscitelli, Marco Savino ; Brandi, Silvio ; Capozzoli, Alfonso
Applied Energy. 255 (2019) - p. 113727 , 2019

Link: https://doi.org/10.1016/..

13

Automated load pattern learning and anomaly detection for e..:

Capozzoli, Alfonso ; Piscitelli, Marco Savino ; Brandi, Silvio..
Energy. 157 (2018) - p. 336-352 , 2018

Link: https://doi.org/10.1016/..

14

Mining typical load profiles in buildings to support energy..:

Capozzoli, Alfonso ; Piscitelli, Marco Savino ; Brandi, Silvio
Energy Procedia. 134 (2017) - p. 865-874 , 2017

Link: https://doi.org/10.1016/..

15

Ten questions concerning reinforcement learning for buildin..:

Nagy, Zoltan ; Henze, Gregor ; Dey, Sourav...
qt7945510n. , 2023

Link: https://escholarship.org..