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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
Article 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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261
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 and engagement
25.
active learning methods
26.
adaptive learning
27.
adversarial machine learning
28.
adversarial machine-learning
29.
algorithm controlling the learning process
30.
appetitive associative learning
31.
approach to learning
32.
Attitude to learning
33.
authoritarian learning
34.
automata learning
35.
automatic machine learning (autoML)
36.
bayesian learning
37.
BIM-enabled learning
38.
BIM-enabled learning environment
39.
biophilic learning environments
40.
blended learning
41.
business school as learning organization
42.
business school learning organization questionnaire (BSLOQ)
43.
business school learning rate dependence on GPD
44.
business school learning rate measurement instrument
45.
challenge-based learning
46.
Challenge-Based Learning (CBL)
47.
client learning
48.
Collaborative e-learning
49.
collaborative learning
50.
competence based learning
51.
competence learning
52.
competence-based learning
53.
competency based learning
54.
Component organised learning (COL)
55.
computer assisted language learning
56.
computer based learning
57.
computer-assisted language learning (CALL)
58.
contrastive learning
59.
coping with online teaching and learning
60.
customer learning
61.
data analytics and machine learning
62.
deep learning
63.
deep learning (DL)
64.
deep learning classifier
65.
deep learning method
66.
deep learning methods
67.
deep learning model
68.
deep learning model quantization
69.
deep learning network
70.
Deep reinforcing learning SDN
71.
Deep-learning
72.
deep-learning (DL)
73.
dictionary learning
74.
digital learning module
75.
digital remote learning
76.
Dimensions of Learning Organisation Questionnaire (DLOQ)
77.
distance learning
78.
distant learning
79.
double Q-learning
80.
effective teaching and learning
81.
e-learning
82.
e‐learning
83.
e-Learning course
84.
e-Learning database
85.
e-learning environment
86.
electronic learning
87.
embedded deep learning
88.
Emergency remote learning
89.
ensemble learning
90.
enterprising and entrepreneurial learning
91.
entrepreneurial learning
92.
entrepreneurial teaching and learning
93.
ESG-learning
94.
experiential learning
95.
explainable machine learning
96.
Federated learning
97.
federated learning (FL)
98.
flexible learning
99.
game based learning
100.
game-based learning
101.
graph machine learning
102.
guided in-service learning
103.
hands-on-learning
104.
history learning
105.
horizontal federated learning
106.
human-centred learning
107.
hybrid learning
108.
Immersive Learning
109.
incremental learning
110.
inductive learning
111.
inductive learning algorithm
112.
interactive learning objects
113.
interdisciplinary learning
114.
interpretable machine learning
115.
investor learning
116.
iterative learning
117.
Kolb’s experiential learning cycle
118.
language learning
119.
Learner-centered learning environment
120.
learning
121.
learning (artificial intelligence)
122.
learning activities
123.
learning adaptation in autonomous vehicles
124.
learning algorithm
125.
learning analysis
126.
learning analytics
127.
learning and experimentation
128.
learning and health outcomes
129.
learning and memory
130.
learning business school
131.
learning by teaching
132.
learning concept
133.
learning content
134.
learning design
135.
learning difficulties
136.
Learning environment
137.
learning experience
138.
learning factory
139.
Learning from Demonstration
140.
learning infrastructures
141.
Learning Lab
142.
learning management
143.
learning management system
144.
learning management systems
145.
learning methodology
146.
learning metrics
147.
learning models
148.
learning motivation
149.
learning objectives
150.
learning objects
151.
learning organization
152.
learning orientation
153.
learning outcomes
154.
learning process
155.
learning processes
156.
learning rate
157.
learning rate dependence on ownership form
158.
learning rate of organization
159.
learning region
160.
learning situation
161.
learning software agents
162.
learning styles
163.
learning systems
164.
learning technologies
165.
learning theories
166.
learning through the questionnaires
167.
learning university
168.
learning-to-rank
169.
lifelong learning
170.
long-short term learning
171.
machine learning
172.
machine learning (ML)
173.
machine learning algorithms
174.
machine learning approach
175.
Machine Learning Explainable model
176.
machine learning for environmental applications
177.
machine learning models
178.
machine learning systems
179.
machine-learning
180.
machine-learning predictive model
181.
mathematics students learning habits
182.
Meaningful learning
183.
measuring learning
184.
mobile learning
185.
model learning
186.
multi-task learning
187.
mutual learning
188.
new learning models
189.
node embedding learning
190.
NREN e-learning
191.
on-device transfer learning
192.
online learning
193.
ontologies for learning systems
194.
ontology learning
195.
Open Learning Resources (OLR)
196.
organisational learning
197.
organizational learning
198.
organizational learning measurement instruments
199.
organizational learning rate dependence on management
200.
organizational learning rate measurement
201.
outcome oriented learning
202.
Parkinson’s disease machine learning
203.
peer‐to‐peer learning group
204.
personalised learning
205.
Personalized learning
206.
policy learning
207.
problem-based learning
208.
Problem-based learning (PBL)
209.
project learning
210.
project-based learning
211.
Q-learning
212.
Q-learning algorithm
213.
query learning
214.
regional learning
215.
relative learning performance
216.
Remote learning
217.
research-oriented learning
218.
reusable learning objects
219.
robust machine learning
220.
scholarship of teaching and learning
221.
self learning software
222.
self learning system
223.
self-learning
224.
self-regulated learning
225.
semi-supervised learning
226.
sequence of learning activities
227.
SIS problem, learning with errors
228.
small data machine learning
229.
smart learning
230.
smart learning environment
231.
social learning
232.
socio-emotional learning
233.
stochastic learning theory
234.
student centred learning
235.
supervised contrastive learning
236.
supervised learning
237.
supervised learning data
238.
supervised machine learning
239.
synchronous hybrid learning
240.
zero-shot learning
241.
task based learning
242.
team learning
243.
Technological learning
244.
technology-enhanced learning
245.
the dimensions of the learning organisation
246.
the dimensions of the learning organization questionnaire (DLOQ)
247.
tools for interactive learning and teaching
248.
trans-disciplinary social-learning
249.
transfer learning
250.
ubiquitous learning
251.
unsupervised learning
252.
unsupervised machine learning
253.
urban learning center
254.
value of learning
255.
web and computerbased learning
256.
Web and computer-based learning
257.
virtual collaborative learning environment (VCLE)
258.
virtual learning environment
259.
virtual learning factory
260.
work-based learning
261.
workplace learning
author
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1.
ELIXIR Machine Learning Focus Group
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1.
UNDP Urban Learning Center
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