statistiche ricercatore

Nazione	#
US - Stati Uniti d'America	1.322
SG - Singapore	267
IT - Italia	225
VN - Vietnam	183
CN - Cina	111
RU - Federazione Russa	92
BR - Brasile	81
HK - Hong Kong	58
DE - Germania	54
FR - Francia	54
KR - Corea	40
IN - India	25
BE - Belgio	23
FI - Finlandia	23
GB - Regno Unito	15
IE - Irlanda	15
NL - Olanda	14
CH - Svizzera	11
ID - Indonesia	9
TR - Turchia	9
AR - Argentina	8
CI - Costa d'Avorio	8
AT - Austria	7
JP - Giappone	7
IQ - Iraq	6
PH - Filippine	6
BD - Bangladesh	5
BG - Bulgaria	5
CA - Canada	5
EC - Ecuador	5
ES - Italia	5
JO - Giordania	5
NG - Nigeria	5
PK - Pakistan	5
TW - Taiwan	5
DK - Danimarca	4
LV - Lettonia	4
MA - Marocco	4
MX - Messico	4
MY - Malesia	3
SA - Arabia Saudita	3
SE - Svezia	3
TH - Thailandia	3
UA - Ucraina	3
AM - Armenia	2
AU - Australia	2
BF - Burkina Faso	2
CZ - Repubblica Ceca	2
LT - Lituania	2
MU - Mauritius	2
PT - Portogallo	2
RO - Romania	2
UZ - Uzbekistan	2
ZA - Sudafrica	2
AZ - Azerbaigian	1
BH - Bahrain	1
CO - Colombia	1
DZ - Algeria	1
GE - Georgia	1
GR - Grecia	1
HR - Croazia	1
HU - Ungheria	1
IL - Israele	1
KG - Kirghizistan	1
LA - Repubblica Popolare Democratica del Laos	1
LB - Libano	1
LK - Sri Lanka	1
MT - Malta	1
NO - Norvegia	1
PE - Perù	1
PY - Paraguay	1
SK - Slovacchia (Repubblica Slovacca)	1
TN - Tunisia	1
VE - Venezuela	1
Totale	2.789

Nome	#
Practical deployment of reinforcement learning for building controls using an imitation learning approach	1.010
Online implementation of a soft actor-critic agent to enhance indoor temperature control and energy efficiency in buildings	219
Energy Management of a Residential Heating System Through Deep Reinforcement Learning	219
Real building implementation of a deep reinforcement learning controller to enhance energy efficiency and indoor temperature control	211
Transfer learning to enhance the scalability of artificial intelligence-based control strategies in buildings	206
Exploring the potentialities of deep reinforcement learning for incentive-based demand response in a cluster of small commercial buildings	206
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings	171
Effective pre-training of a deep reinforcement learning agent by means of long short-term memory models for thermal energy management in buildings	170
A scalable approach for real-world implementation of deep reinforcement learning controllers in buildings based on online transfer learning: The HiLo case study	170
An innovative heterogeneous transfer learning framework to enhance the scalability of deep reinforcement learning controllers in buildings with integrated energy systems	155
Comparison of two deep reinforcement learning algorithms towards an optimal policy for smart building thermal control	99
Totale	2.836

	Totale	Lug	Ago	Sett	Ott	Nov	Dic	Gen	Feb	Mar	Apr	Mag	Giu
2020/2021	13	0	0	0	0	0	0	0	0	0	0	3	10
2021/2022	116	24	5	6	3	6	2	13	4	12	18	12	11
2022/2023	95	7	18	3	4	9	14	5	3	8	3	5	16
2023/2024	132	8	6	5	14	8	24	6	11	14	5	24	7
2024/2025	508	4	28	8	41	35	33	78	45	69	56	61	50
2025/2026	1.922	111	64	894	76	62	78	162	103	224	132	16	0
Totale													2.836

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