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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
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
3
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
4
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
5
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
6
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
7
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
8
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
9
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
10
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
11
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
Journal metrics at WOS
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
12
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
13
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
14
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
15
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
16
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
17
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
18
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
19
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
20
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
21
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
22
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
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
23
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
24
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
25
book article
Strengthening active learning with a reinforcement approach in engineering education
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
2024
/
5 p
https://doi.org/10.1109/RTUCON62997.2024.10830891
book article
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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.
adversarial machine learning
26.
adversarial machine-learning
27.
algorithm controlling the learning process
28.
appetitive associative learning
29.
approach to learning
30.
Attitude to learning
31.
authoritarian learning
32.
automata learning
33.
automatic machine learning (autoML)
34.
bayesian learning
35.
BIM-enabled learning
36.
BIM-enabled learning environment
37.
blended learning
38.
business school as learning organization
39.
business school learning organization questionnaire (BSLOQ)
40.
business school learning rate dependence on GPD
41.
business school learning rate measurement instrument
42.
challenge-based learning
43.
client learning
44.
Collaborative e-learning
45.
collaborative learning
46.
competence based learning
47.
competence learning
48.
competence-based learning
49.
competency based learning
50.
Component organised learning (COL)
51.
computer assisted language learning
52.
computer based learning
53.
computer-assisted language learning (CALL)
54.
coping with online teaching and learning
55.
customer learning
56.
deep learning
57.
deep learning (DL)
58.
deep learning classifier
59.
deep learning method
60.
deep learning methods
61.
deep learning model
62.
deep learning model quantization
63.
deep learning network
64.
Deep reinforcing learning SDN
65.
Deep-learning
66.
deep-learning (DL)
67.
dictionary learning
68.
digital learning module
69.
digital remote learning
70.
Dimensions of Learning Organisation Questionnaire (DLOQ)
71.
distance learning
72.
distant learning
73.
double Q-learning
74.
effective teaching and learning
75.
e-learning
76.
e‐learning
77.
e-Learning course
78.
e-Learning database
79.
e-learning environment
80.
electronic learning
81.
embedded deep learning
82.
Emergency remote learning
83.
ensemble learning
84.
enterprising and entrepreneurial learning
85.
entrepreneurial learning
86.
entrepreneurial teaching and learning
87.
ESG-learning
88.
experiential learning
89.
Federated learning
90.
federated learning (FL)
91.
flexible learning
92.
game based learning
93.
game-based learning
94.
graph machine learning
95.
guided in-service learning
96.
hands-on-learning
97.
history learning
98.
horizontal federated learning
99.
human-centred learning
100.
hybrid learning
101.
incremental learning
102.
inductive learning
103.
inductive learning algorithm
104.
interactive learning objects
105.
interdisciplinary learning
106.
interpretable machine learning
107.
investor learning
108.
iterative learning
109.
Kolb’s experiential learning cycle
110.
language learning
111.
Learner-centered learning environment
112.
learning
113.
learning (artificial intelligence)
114.
learning activities
115.
learning adaptation in autonomous vehicles
116.
learning algorithm
117.
learning analysis
118.
learning analytics
119.
learning and experimentation
120.
learning and health outcomes
121.
learning and memory
122.
learning business school
123.
learning by teaching
124.
learning concept
125.
learning content
126.
learning design
127.
learning difficulties
128.
Learning environment
129.
learning experience
130.
Learning from Demonstration
131.
learning infrastructures
132.
Learning Lab
133.
learning management
134.
learning management system
135.
learning management systems
136.
learning methodology
137.
learning metrics
138.
learning models
139.
learning motivation
140.
learning objectives
141.
learning objects
142.
learning organization
143.
learning orientation
144.
learning outcomes
145.
learning process
146.
learning processes
147.
learning rate
148.
learning rate dependence on ownership form
149.
learning rate of organization
150.
learning region
151.
learning situation
152.
learning software agents
153.
learning styles
154.
learning systems
155.
learning technologies
156.
learning theories
157.
learning through the questionnaires
158.
learning university
159.
learning-to-rank
160.
lifelong learning
161.
long-short term learning
162.
machine learning
163.
machine learning (ML)
164.
machine learning algorithms
165.
machine learning approach
166.
Machine Learning Explainable model
167.
machine learning for environmental applications
168.
machine learning models
169.
machine learning systems
170.
machine-learning
171.
machine-learning predictive model
172.
mathematics students learning habits
173.
Meaningful learning
174.
measuring learning
175.
mobile learning
176.
model learning
177.
multi-task learning
178.
mutual learning
179.
new learning models
180.
node embedding learning
181.
NREN e-learning
182.
on-device transfer learning
183.
online learning
184.
ontologies for learning systems
185.
ontology learning
186.
Open Learning Resources (OLR)
187.
organisational learning
188.
organizational learning
189.
organizational learning measurement instruments
190.
organizational learning rate dependence on management
191.
organizational learning rate measurement
192.
outcome oriented learning
193.
Parkinson’s disease machine learning
194.
peer‐to‐peer learning group
195.
personalised learning
196.
policy learning
197.
problem-based learning
198.
Problem-based learning (PBL)
199.
project learning
200.
project-based learning
201.
Q-learning
202.
Q-learning algorithm
203.
query learning
204.
regional learning
205.
relative learning performance
206.
Remote learning
207.
research-oriented learning
208.
reusable learning objects
209.
robust machine learning
210.
scholarship of teaching and learning
211.
self learning software
212.
self learning system
213.
self-learning
214.
self-regulated learning
215.
semi-supervised learning
216.
sequence of learning activities
217.
SIS problem, learning with errors
218.
small data machine learning
219.
smart learning
220.
smart learning environment
221.
social learning
222.
stochastic learning theory
223.
student centred learning
224.
supervised contrastive learning
225.
supervised learning
226.
supervised learning data
227.
supervised machine learning
228.
synchronous hybrid learning
229.
zero-shot learning
230.
task based learning
231.
team learning
232.
Technological learning
233.
technology-enhanced learning
234.
the dimensions of the learning organisation
235.
the dimensions of the learning organization questionnaire (DLOQ)
236.
tools for interactive learning and teaching
237.
trans-disciplinary social-learning
238.
transfer learning
239.
ubiquitous learning
240.
unsupervised learning
241.
unsupervised machine learning
242.
urban learning center
243.
value of learning
244.
web and computerbased learning
245.
Web and computer-based learning
246.
virtual collaborative learning environment (VCLE)
247.
virtual learning environment
248.
virtual learning factory
249.
work-based learning
250.
workplace learning
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ELIXIR Machine Learning Focus Group
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1.
UNDP Urban Learning Center
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