Probabilistic Unit Commitment in Multi-Area Grids with High Renewable Energy Penetration By Using Dynamic Programming Based on Neural Network

International Conference on Renewable Power Generation (RPG 2015) ◽

10.1049/cp.2015.0312 ◽

2015 ◽

Cited By ~ 1

Author(s):

S.S. Kaddah ◽

T.F. Megahed ◽

M.G. Osman ◽

K.M. Abo-Al-Ez

Keyword(s):

Neural Network ◽

Dynamic Programming ◽

Renewable Energy ◽

Unit Commitment

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Adaptive Dynamic Programming for Gas-Power Network Constrained Unit Commitment to Accommodate Renewable Energy With Combined-Cycle Units

IEEE Transactions on Sustainable Energy ◽

10.1109/tste.2019.2951616 ◽

2020 ◽

Vol 11 (3) ◽

pp. 2028-2039 ◽

Cited By ~ 3

Author(s):

Yiting Xu ◽

Tao Ding ◽

Ming Qu ◽

Pengwei Du

Keyword(s):

Dynamic Programming ◽

Renewable Energy ◽

Unit Commitment ◽

Combined Cycle ◽

Adaptive Dynamic Programming ◽

Power Network ◽

Adaptive Dynamic

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A hybrid artificial neural network-dynamic programming approach to unit commitment

IEEE Transactions on Power Systems ◽

10.1109/59.141709 ◽

1992 ◽

Vol 7 (1) ◽

pp. 236-242 ◽

Cited By ~ 79

Author(s):

Z. Ouyang ◽

S.M. Shahidehpour

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Dynamic Programming ◽

Unit Commitment ◽

Programming Approach ◽

Network Dynamic ◽

Dynamic Programming Approach ◽

Neural Network Dynamic ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

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A Hybrid Dynamic Programming and Neural Network Approach to Unit Commitment with High Renewable Penetration

Bulletin of the Faculty of Engineering. Mansoura University ◽

10.21608/bfemu.2020.99332 ◽

2020 ◽

Vol 41 (1) ◽

pp. 7-17

Author(s):

Sahar Kaddah ◽

K. Abo-Al-Ez ◽

Tamer Megahed ◽

M. Osman

Keyword(s):

Neural Network ◽

Dynamic Programming ◽

Unit Commitment ◽

Network Approach ◽

Neural Network Approach ◽

High Renewable Penetration

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A dynamic programming based fast computation Hopfield neural network for unit commitment and economic dispatch

Electric Power Systems Research ◽

10.1016/j.epsr.2006.08.005 ◽

2007 ◽

Vol 77 (8) ◽

pp. 917-925 ◽

Cited By ~ 27

Author(s):

S. Senthil Kumar ◽

V. Palanisamy

Keyword(s):

Neural Network ◽

Dynamic Programming ◽

Unit Commitment ◽

Economic Dispatch ◽

Hopfield Neural Network ◽

Fast Computation

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A New Dynamic Programming Based Hopfield Neural Network to Unit Commitment and Economic Dispatch

2006 IEEE International Conference on Industrial Technology ◽

10.1109/icit.2006.372253 ◽

2006 ◽

Cited By ~ 6

Author(s):

S. Senthil Kumar ◽

V. Palanisamy

Keyword(s):

Neural Network ◽

Dynamic Programming ◽

Unit Commitment ◽

Economic Dispatch ◽

Hopfield Neural Network

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A Hybrid Artificial Neural Network-Dynamic Programming Approach to Unit Commitment

HKIE Transactions ◽

10.1080/1023697x.1998.10667752 ◽

1998 ◽

Vol 5 (2) ◽

pp. 49-53 ◽

Cited By ~ 1

Author(s):

Y K Wong ◽

M H Wong ◽

T S Chung

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Dynamic Programming ◽

Unit Commitment ◽

Programming Approach ◽

Network Dynamic ◽

Dynamic Programming Approach ◽

Neural Network Dynamic ◽

Artificial Neural ◽

Hybrid Artificial Neural Network

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Relationship between Supply-demand Balance and Domain of Existence of the Number of Connected Generators for Determining Unit Commitment in Power System with a Large Integration of Renewable Energy Sources

IEEJ Transactions on Power and Energy ◽

10.1541/ieejpes.136.809 ◽

2016 ◽

Vol 136 (11) ◽

pp. 809-816 ◽

Cited By ~ 4

Author(s):

Taisuke Masuta ◽

Takuya Fukumi ◽

Joao Gari da Silva Fonseca Junior ◽

Hideaki Ootake ◽

Akinobu Murata

Keyword(s):

Renewable Energy ◽

Power System ◽

Unit Commitment ◽

Renewable Energy Sources ◽

Energy Sources ◽

Domain Of Existence

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Application of Hopfield neural network in unit commitment problem

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.01028 ◽

2009 ◽

Vol 29 (4) ◽

pp. 1028-1031

Author(s):

Wei-xin GAO ◽

Xiang-yang MU ◽

Nan TANG ◽

Hong-liang YAN

Keyword(s):

Neural Network ◽

Unit Commitment ◽

Hopfield Neural Network ◽

Unit Commitment Problem ◽

Commitment Problem

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Flexible Expansion Planning of Distribution System Integrating Multiple Renewable Energy Sources: An Approximate Dynamic Programming Approach

Energy ◽

10.1016/j.energy.2021.120367 ◽

2021 ◽

pp. 120367

Author(s):

Qirun Sun ◽

Zhi Wu ◽

Wei Gu ◽

Tao Zhu ◽

Lei Zhong ◽

...

Keyword(s):

Dynamic Programming ◽

Renewable Energy ◽

Distribution System ◽

Approximate Dynamic Programming ◽

Renewable Energy Sources ◽

Energy Sources ◽

Programming Approach ◽

Dynamic Programming Approach ◽

Expansion Planning

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Neural-network-based stochastic linear quadratic optimal tracking control scheme for unknown discrete-time systems using adaptive dynamic programming

Control Theory and Technology ◽

10.1007/s11768-021-00046-y ◽

2021 ◽

Author(s):

Xin Chen ◽

Fang Wang

Keyword(s):

Neural Network ◽

Dynamic Programming ◽

Discrete Time ◽

Tracking Control ◽

Adaptive Dynamic Programming ◽

Linear Quadratic ◽

Optimal Tracking ◽

Discrete Time Systems ◽

Control Scheme ◽

Time Systems

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