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1
book article
Applying reinforcement learning method for real-time energy management
Borhan Dayani, Aida
;
Fazlollahtabar, Hamed
;
Ahmadiahangar, Roya
;
Rosin, Argo
2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)
2019
/
5 p. : ill
https://doi.org/10.1109/EEEIC.2019.8783766
book article
2
journal article EST
/
journal article ENG
Bandit-based learning-aided full-duplex/half-duplex mode selection in 6G cooperative relay networks
Nomikos, Nikolaos
;
Charalambous, Themistoklis
;
Trakadas, Panagiotis
;
Wichman, Risto
IEEE Open Journal of the Communications Society
2024
/
p. 1415-1429 : ill
https://doi.org/10.1109/OJCOMS.2024.3370476
Journal metrics at Scopus
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Article at WOS
journal article EST
/
journal article ENG
3
book article
Constrained intelligent frequency control in an AC Microgrid : an Online reinforcement learning based PID tuning approach
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Levron, Yoash
2023 IEEE Power & Energy Society General Meeting (PESGM)
2023
/
5 p. : ill
https://doi.org/10.1109/PESGM52003.2023.10252482
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
4
book article
Coordinated PI-based frequency deviation control of isolated hybrid microgrid : an online multi-agent tuning approach via reinforcement learning
Nosrati, Komeil
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Levron, Yoash
;
Škiparev, Vjatšeslav
;
Belikov, Juri
2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) : proceedings
2022
/
p. 1-5 : ill
https://doi.org/10.1109/ISGT-Europe54678.2022.9960311
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
5
book article EST
/
book article ENG
Data-driven approaches based microwave filter tuning - a review
Sekhri, Even
;
Tamre, Mart
;
Kapoor, Rajiv
Advances in Artificial-Business Analytics and Quantum Machine Learning : Select Proceedings of the 3rd International Conference, Com-IT-Con 2023, Volume 2
2024
/
p. 273-286
https://doi.org/10.1007/978-981-97-4860-0_22
Conference proceedings at Scopus
Article at Scopus
book article EST
/
book article ENG
Related publications
1
Fully automated tuning of microwave coaxial cavity filters = Mikrolaine-koaksiaalfiltrite täisautomaatne häälestamine
6
book article
Digital twin simulations based reinforcement learning for navigation and control of a wheel-on-leg mobile robot
Alsaleh, Saleh Ragheb Saleh
;
Tepljakov, Aleksei
;
Tamre, Mart
;
Kuts, Vladimir
;
Petlenkov, Eduard
Proceedings of ASME 2022 International Mechanical Engineering Congress and Exposition (IMECE2022), 2B: Columbus, Ohio, USA, October 30 - November 3, 2022
2022
/
art. IMECE2022-95411, V02BT02A025, 8 p
https://doi.org/10.1115/IMECE2022-95411
book article
Related publications
1
Digital twin based computational methods for XR applications = Digitaalkaksikute põhised arvutuslikud meetodid XR rakenduste jaoks
7
book article EST
/
book article ENG
EcoLight : Eco-friendly traffic signal control driven by urban noise prediction
Ounoughi, Chahinez
;
Touibi, Ghofrane
;
Ben Yahia, Sadok
Database and Expert Systems Applications : 33rd International Conference, DEXA 2022, Vienna, Austria, August 22-24, 2022 : proceedings, Part I
2022
/
p. 205–219
https://doi.org/10.1007/978-3-031-12423-5_16
Conference Proceedings at Scopus
Article at Scopus
Conference Proceedings at WOS
Article at WOS
book article EST
/
book article ENG
Related publications
1
Urban traffic : data fusion and vehicle flow prediction in smart cities = Linnaliiklus : andmete ühtesulamine ja sõidukite voo prognoosimine nutikates linnades
8
book article
An enhanced NN-based load frequency control design of MGs : a fractional order modeling method
Škiparev, Vjatšeslav
;
Nosrati, Komeil
;
Belikov, Juri
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
2023
/
6 p
https://doi.org/10.1109/CPE-POWERENG58103.2023.10227392
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
9
book article
Frequency and power allocation schemes for heterogeneous networks including femto cells
Ahmed, Tauseef
;
Le Moullec, Yannick
2015 23rd Telecommunications Forum (TELFOR) : Belgrade, Serbia, November, 24-26, 2015 : proceedings of papers = XXIII Телекомуникациони Форум ТЕЛФОР 2015 : зборник радова
2015
/
p. 277-280 : ill
http://dx.doi.org/10.1109/TELFOR.2015.7377464
book article
10
journal article EST
/
journal article ENG
Intelligent control of robots with minimal power consumption in pick-and-place operations
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
Energies
2023
/
art. 7418
https://doi.org/10.3390/en16217418
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
11
journal article EST
/
journal article ENG
Intelligent frequency control of AC microgrids with communication delay : an online tuning method subject to stabilizing parameters
Nosrati, Komeil
;
Škiparev, Vjatšeslav
;
Tepljakov, Aleksei
;
Petlenkov, Eduard
;
Belikov, Juri
Energy and AI
2024
/
art. 100421
https://doi.org/10.1016/j.egyai.2024.100421
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
12
journal article EST
/
journal article ENG
Joint optimization via deep reinforcement learning in wireless networked controlled systems
Ashraf, Kanwal
;
Le Moullec, Yannick
;
Pardy, Tamas
;
Rang, Toomas
IEEE Access
2022
/
p. 67152-67167
https://doi.org/10.1109/ACCESS.2022.3185244
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Co-design of wireless networked control systems : model-based architecture and joint optimization = Juhtmevabade võrgustatud juhtimissüsteemide koosdisain : mudelipõhine arhitektuur ja ühisoptimeerimine
13
book article EST
/
book article ENG
Machine learning techniques for wireless-powered ambient backscatter communications : enabling intelligent iot networks in 6g era
Jameel, Furqan
;
Sharma, Navuday
;
Khan, Muhammad Awais
;
Khan, Imran
;
Alam, Muhammad Mahtab
;
Alam, Muhammad Mahtab
;
Mavromoustakis, Constandinos X.
Internet of Things
/
2020
https://doi.org/10.1007/978-3-030-44907-0_8
Article collection metrics at Scopus
Article at Scopus
book article EST
/
book article ENG
14
book article
Management of braking energy in electric vehicles using reinforcement learning
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2023 International Conference on Clean Electrical Power (ICCEP)
2023
/
p. 559-564
https://doi.org/10.1109/ICCEP57914.2023.10247359
book article
15
book article
MIMO reinforcement learning based approach for frequency support in microgrids with high renewable energy penetration
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Petlenkov, Eduard
2021 IEEE Power & Energy Society General Meeting (PESGM), 26-29 July 2021
2021
/
5 p. : ill
https://doi.org/10.1109/PESGM46819.2021.9637942
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
16
journal article EST
/
journal article ENG
On coverage of critical nodes in UAV-assisted emergency networks
Waheed, Maham
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Alam, Muhammad Mahtab
;
Magarini, Maurizio
Sensors
2023
/
art. 1586
https://doi.org/10.3390/s23031586
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
17
journal article EST
/
journal article ENG
Optimal tuning of fractional order sliding mode controller for PMSM speed using neural network with reinforcement learning
Zahraoui, Younes
;
Zaihidee, Fardila M.
;
Kermadi, Mostefa
;
Mekhilef, Saad
;
Alhamrouni, Ibrahim
;
Seyedmahmoudian, Mehdi
;
Stojcevski, Alex
Energies
2023
/
art. 4353
https://doi.org/10.3390/en16114353
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
18
book article
Optimization of channel allocation in wireless body area networks by means of reinforcement learning
Ahmed, Tauseef
;
Ahmed, Faisal
;
Le Moullec, Yannick
APWiMob : IEEE Asia Pacific Conference on Wireless and Mobile 2016 : conference proceedings : 13-15 September 2016, Grand Royal Panghegar Hotel, Bandung, Indonesia
2016
/
p. 120-123 : ill
https://doi.org/10.1109/APWiMob.2016.7811445
book article
19
book article
Power-efficient frequency allocation algorithms for self-organized networks
Ahmed, Tauseef
;
Le Moullec, Yannick
2015 Advances in Wireless and Optical Communications RTUWO : 5-6 November 2015, Riga, Latvia : proceedings
2015
/
p. 142-145 : ill
http://dx.doi.org/10.1109/RTUWO.2015.7365738
book article
20
journal article EST
/
journal article ENG
A QoS optimization approach in cognitive body area networks for healthcare applications
Ahmed, Tauseef
;
Le Moullec, Yannick
Sensors
2017
/
art. 780, p. 1-23 : ill
https://doi.org/10.3390/s17040780
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
21
book article
Reinforcement learning based approach for virtual inertia control in microgrids with renewable energy sources
Škiparev, Vjatšeslav
;
Belikov, Juri
;
Petlenkov, Eduard
Proceedings of 2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe), 26-28 October, 2020
2020
/
p. 1020-1024
https://doi.org/10.1109/ISGT-Europe47291.2020.9248777
book article
Related publications
1
Virtual inertia control of microgrids using deep reinforcement learning methods = Mikrovõrkude virtuaalse inertsi juhtimine sügava stiimulõppe meetoditega
22
journal article EST
/
journal article ENG
Reinforcement learning model-based and model-free paradigms for optimal control problems in power systems: comprehensive review and future directions
Ginzburg-Ganz, Elinor
;
Segev, Itay
;
Balabanov, Alexander
;
Segev, Elior
;
Kaully Naveh, Sivan
;
Machlev, Ram
;
Belikov, Juri
;
Katzir, Liran
;
Keren, Sarah
;
Levron, Yoash
Energies
2024
/
art. 5307, 54 p. : ill
https://doi.org/10.3390/en17215307
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
23
journal article EST
/
journal article ENG
A reinforcement learning routing protocol for UAV aided public safety networks
Minhas, Hassan Ishtiaq
;
Ahmad, Rizwan
;
Ahmed, Waqas
;
Waheed, Maham
;
Alam, Muhammad Mahtab
;
Gul, Sufi Tabassum
Sensors
2021
/
Art. nr. 4121
https://doi.org/10.3390/s21124121
Journal metrics at Scopus
Article at Scopus
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Article at WOS
journal article EST
/
journal article ENG
24
book article
Reward function evaluation in a reinforcement learning approach for energy management [Online resource]
Rioual, Yohann
;
Le Moullec, Yannick
;
Laurent, Johann
;
Khan, Muhidul Islam
;
Diguet, Jean-Philippe
BEC 2018 : 2018 16th Biennial Baltic Electronics Conference (BEC) : proceedings of the 16th Biennial Baltic Electronics Conference, October 8-10, 2018
2019
/
4 p
https://doi.org/10.1109/BEC.2018.8600992
book article
25
book article
Simulation study of processes in electric vehicles under braking control based on reinforcement learning
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2023 IEEE 17th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG)
2023
/
5 p
https://doi.org/10.1109/CPE-POWERENG58103.2023.10227478
book article
Number of records 27, displaying
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258
1.
cooperative reinforcement learning
2.
deep reinforcement learning
3.
distributed independent reinforcement learning
4.
inverse reinforcement learning
5.
Multi-agent reinforcement learning
6.
reinforcement learning
7.
Reinforcement Learning (RL)
8.
true online reinforcement learning
9.
carbide reinforcement
10.
cermet reinforcement
11.
concrete reinforcement
12.
fiber reinforcement
13.
glass-fiber reinforcement
14.
hardmetal reinforcement
15.
Helical reinforcement
16.
in situ reinforcement
17.
particulate reinforcement mass fraction
18.
reinforcement
19.
reinforcement mass fraction
20.
twomodal reinforcement
21.
WC reinforcement
22.
active blended learning
23.
active learning
24.
active learning methods
25.
adaptive learning
26.
adversarial machine learning
27.
adversarial machine-learning
28.
algorithm controlling the learning process
29.
appetitive associative learning
30.
approach to learning
31.
Attitude to learning
32.
authoritarian learning
33.
automata learning
34.
automatic machine learning (autoML)
35.
bayesian learning
36.
BIM-enabled learning
37.
BIM-enabled learning environment
38.
biophilic learning environments
39.
blended learning
40.
business school as learning organization
41.
business school learning organization questionnaire (BSLOQ)
42.
business school learning rate dependence on GPD
43.
business school learning rate measurement instrument
44.
challenge-based learning
45.
Challenge-Based Learning (CBL)
46.
client learning
47.
Collaborative e-learning
48.
collaborative learning
49.
competence based learning
50.
competence learning
51.
competence-based learning
52.
competency based learning
53.
Component organised learning (COL)
54.
computer assisted language learning
55.
computer based learning
56.
computer-assisted language learning (CALL)
57.
contrastive learning
58.
coping with online teaching and learning
59.
customer learning
60.
data analytics and machine learning
61.
deep learning
62.
deep learning (DL)
63.
deep learning classifier
64.
deep learning method
65.
deep learning methods
66.
deep learning model
67.
deep learning model quantization
68.
deep learning network
69.
Deep reinforcing learning SDN
70.
Deep-learning
71.
deep-learning (DL)
72.
dictionary learning
73.
digital learning module
74.
digital remote learning
75.
Dimensions of Learning Organisation Questionnaire (DLOQ)
76.
distance learning
77.
distant learning
78.
double Q-learning
79.
effective teaching and learning
80.
e-learning
81.
e‐learning
82.
e-Learning course
83.
e-Learning database
84.
e-learning environment
85.
electronic learning
86.
embedded deep learning
87.
Emergency remote learning
88.
ensemble learning
89.
enterprising and entrepreneurial learning
90.
entrepreneurial learning
91.
entrepreneurial teaching and learning
92.
ESG-learning
93.
experiential learning
94.
Federated learning
95.
federated learning (FL)
96.
flexible learning
97.
game based learning
98.
game-based learning
99.
graph machine learning
100.
guided in-service learning
101.
hands-on-learning
102.
history learning
103.
horizontal federated learning
104.
human-centred learning
105.
hybrid learning
106.
Immersive Learning
107.
incremental learning
108.
inductive learning
109.
inductive learning algorithm
110.
interactive learning objects
111.
interdisciplinary learning
112.
interpretable machine learning
113.
investor learning
114.
iterative learning
115.
Kolb’s experiential learning cycle
116.
language learning
117.
Learner-centered learning environment
118.
learning
119.
learning (artificial intelligence)
120.
learning activities
121.
learning adaptation in autonomous vehicles
122.
learning algorithm
123.
learning analysis
124.
learning analytics
125.
learning and experimentation
126.
learning and health outcomes
127.
learning and memory
128.
learning business school
129.
learning by teaching
130.
learning concept
131.
learning content
132.
learning design
133.
learning difficulties
134.
Learning environment
135.
learning experience
136.
learning factory
137.
Learning from Demonstration
138.
learning infrastructures
139.
Learning Lab
140.
learning management
141.
learning management system
142.
learning management systems
143.
learning methodology
144.
learning metrics
145.
learning models
146.
learning motivation
147.
learning objectives
148.
learning objects
149.
learning organization
150.
learning orientation
151.
learning outcomes
152.
learning process
153.
learning processes
154.
learning rate
155.
learning rate dependence on ownership form
156.
learning rate of organization
157.
learning region
158.
learning situation
159.
learning software agents
160.
learning styles
161.
learning systems
162.
learning technologies
163.
learning theories
164.
learning through the questionnaires
165.
learning university
166.
learning-to-rank
167.
lifelong learning
168.
long-short term learning
169.
machine learning
170.
machine learning (ML)
171.
machine learning algorithms
172.
machine learning approach
173.
Machine Learning Explainable model
174.
machine learning for environmental applications
175.
machine learning models
176.
machine learning systems
177.
machine-learning
178.
machine-learning predictive model
179.
mathematics students learning habits
180.
Meaningful learning
181.
measuring learning
182.
mobile learning
183.
model learning
184.
multi-task learning
185.
mutual learning
186.
new learning models
187.
node embedding learning
188.
NREN e-learning
189.
on-device transfer learning
190.
online learning
191.
ontologies for learning systems
192.
ontology learning
193.
Open Learning Resources (OLR)
194.
organisational learning
195.
organizational learning
196.
organizational learning measurement instruments
197.
organizational learning rate dependence on management
198.
organizational learning rate measurement
199.
outcome oriented learning
200.
Parkinson’s disease machine learning
201.
peer‐to‐peer learning group
202.
personalised learning
203.
policy learning
204.
problem-based learning
205.
Problem-based learning (PBL)
206.
project learning
207.
project-based learning
208.
Q-learning
209.
Q-learning algorithm
210.
query learning
211.
regional learning
212.
relative learning performance
213.
Remote learning
214.
research-oriented learning
215.
reusable learning objects
216.
robust machine learning
217.
scholarship of teaching and learning
218.
self learning software
219.
self learning system
220.
self-learning
221.
self-regulated learning
222.
semi-supervised learning
223.
sequence of learning activities
224.
SIS problem, learning with errors
225.
small data machine learning
226.
smart learning
227.
smart learning environment
228.
social learning
229.
socio-emotional learning
230.
stochastic learning theory
231.
student centred learning
232.
supervised contrastive learning
233.
supervised learning
234.
supervised learning data
235.
supervised machine learning
236.
synchronous hybrid learning
237.
zero-shot learning
238.
task based learning
239.
team learning
240.
Technological learning
241.
technology-enhanced learning
242.
the dimensions of the learning organisation
243.
the dimensions of the learning organization questionnaire (DLOQ)
244.
tools for interactive learning and teaching
245.
trans-disciplinary social-learning
246.
transfer learning
247.
ubiquitous learning
248.
unsupervised learning
249.
unsupervised machine learning
250.
urban learning center
251.
value of learning
252.
web and computerbased learning
253.
Web and computer-based learning
254.
virtual collaborative learning environment (VCLE)
255.
virtual learning environment
256.
virtual learning factory
257.
work-based learning
258.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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