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Emerging: Smart Grid & Energy Management

EnerGAN: A Generative Adversarial Network for Energy Disaggregation


An efficient, appliance-level approach for energy disaggregation, exploiting the benefits of Generative Adversarial Networks, is presented. The concept of adversarial training supports the creation of fine tuned disaggregators, which produce more detailed load estimations for a specific appliance, compared to state of the art deep learning models. The Generator and Discriminator of the model are appropriately adapted to fit the particularities of NILM problem, whereas a Seeder component is added to provide encoded compact input vectors to the Generator.

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Authors:
Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis
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27 June 2020 - 2:06pm
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EnerGAN_ICASSP_2020_final.pdf

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[1] Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis, "EnerGAN: A Generative Adversarial Network for Energy Disaggregation", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5463. Accessed: Sep. 25, 2020.
@article{5463-20,
url = {http://sigport.org/5463},
author = {Maria Kaselimi; Athanasios Voulodimos; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios Doulamis },
publisher = {IEEE SigPort},
title = {EnerGAN: A Generative Adversarial Network for Energy Disaggregation},
year = {2020} }
TY - EJOUR
T1 - EnerGAN: A Generative Adversarial Network for Energy Disaggregation
AU - Maria Kaselimi; Athanasios Voulodimos; Eftychios Protopapadakis; Nikolaos Doulamis; Anastasios Doulamis
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5463
ER -
Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis. (2020). EnerGAN: A Generative Adversarial Network for Energy Disaggregation. IEEE SigPort. http://sigport.org/5463
Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis, 2020. EnerGAN: A Generative Adversarial Network for Energy Disaggregation. Available at: http://sigport.org/5463.
Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis. (2020). "EnerGAN: A Generative Adversarial Network for Energy Disaggregation." Web.
1. Maria Kaselimi, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, Anastasios Doulamis. EnerGAN: A Generative Adversarial Network for Energy Disaggregation [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5463

STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS


Smart grids are faced with the challenge of meeting the ever increasing load demands of electric vehicles (EVs). To provide acceptable charging services, operators need to be equipped with an efficient charging stations (CSs) planning strategy. Unfortunately, existing planning solutions are quite limited. They normally rely on standard IEEE bus systems or power grids that are specific to certain cities. In this paper, using stochastic geometry, we formulate the CSs planning on a stochastic geometry-based power grid model, that we previously showed to mimic real-world power grids.

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Authors:
Rachad Atat, Muhammad Ismail, and Erchin Serpedin
Submitted On:
13 May 2020 - 5:04pm
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Presentation_ICASSP_2020.pdf

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[1] Rachad Atat, Muhammad Ismail, and Erchin Serpedin, "STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS", IEEE SigPort, 2020. [Online]. Available: http://sigport.org/5144. Accessed: Sep. 25, 2020.
@article{5144-20,
url = {http://sigport.org/5144},
author = {Rachad Atat; Muhammad Ismail; and Erchin Serpedin },
publisher = {IEEE SigPort},
title = {STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS},
year = {2020} }
TY - EJOUR
T1 - STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS
AU - Rachad Atat; Muhammad Ismail; and Erchin Serpedin
PY - 2020
PB - IEEE SigPort
UR - http://sigport.org/5144
ER -
Rachad Atat, Muhammad Ismail, and Erchin Serpedin. (2020). STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS. IEEE SigPort. http://sigport.org/5144
Rachad Atat, Muhammad Ismail, and Erchin Serpedin, 2020. STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS. Available at: http://sigport.org/5144.
Rachad Atat, Muhammad Ismail, and Erchin Serpedin. (2020). "STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS." Web.
1. Rachad Atat, Muhammad Ismail, and Erchin Serpedin. STOCHASTIC GEOMETRY PLANNING OF ELECTRIC VEHICLES CHARGING STATIONS [Internet]. IEEE SigPort; 2020. Available from : http://sigport.org/5144

Learning About Loads to Improve Power System Operation and Control

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13 November 2019 - 11:31am
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MathieuGlobalSIP

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[1] , "Learning About Loads to Improve Power System Operation and Control", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4955. Accessed: Sep. 25, 2020.
@article{4955-19,
url = {http://sigport.org/4955},
author = { },
publisher = {IEEE SigPort},
title = {Learning About Loads to Improve Power System Operation and Control},
year = {2019} }
TY - EJOUR
T1 - Learning About Loads to Improve Power System Operation and Control
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4955
ER -
. (2019). Learning About Loads to Improve Power System Operation and Control. IEEE SigPort. http://sigport.org/4955
, 2019. Learning About Loads to Improve Power System Operation and Control. Available at: http://sigport.org/4955.
. (2019). "Learning About Loads to Improve Power System Operation and Control." Web.
1. . Learning About Loads to Improve Power System Operation and Control [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4955

Integrated Power and D2D Communications Simulator for Future Power Systems

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Authors:
Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer
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7 November 2019 - 9:37pm
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GlobalSIP2019 Main.pdf

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[1] Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer, "Integrated Power and D2D Communications Simulator for Future Power Systems", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4929. Accessed: Sep. 25, 2020.
@article{4929-19,
url = {http://sigport.org/4929},
author = {Kevin Shimotakahara; Medhat Elsayed; Melike Erol-Kantarci; Karin Hinzer },
publisher = {IEEE SigPort},
title = {Integrated Power and D2D Communications Simulator for Future Power Systems},
year = {2019} }
TY - EJOUR
T1 - Integrated Power and D2D Communications Simulator for Future Power Systems
AU - Kevin Shimotakahara; Medhat Elsayed; Melike Erol-Kantarci; Karin Hinzer
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4929
ER -
Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer. (2019). Integrated Power and D2D Communications Simulator for Future Power Systems. IEEE SigPort. http://sigport.org/4929
Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer, 2019. Integrated Power and D2D Communications Simulator for Future Power Systems. Available at: http://sigport.org/4929.
Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer. (2019). "Integrated Power and D2D Communications Simulator for Future Power Systems." Web.
1. Kevin Shimotakahara, Medhat Elsayed, Melike Erol-Kantarci, Karin Hinzer. Integrated Power and D2D Communications Simulator for Future Power Systems [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4929

COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING


This paper proposes a novel approach to infer missing electricity meter data of a building using a seasonal autoregressive integrated moving average model with exogenous variables (SARIMAX). A cross-correlation function is utilized to identify buildings that have electricity usage patterns similar to the building with missing meter data.

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Authors:
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo
Submitted On:
13 October 2019 - 11:16am
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COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING.pdf

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[1] Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo, "COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4863. Accessed: Sep. 25, 2020.
@article{4863-19,
url = {http://sigport.org/4863},
author = {Nan Duan; Jose Cadena; Pedro Sotorrio; Jhi-Young Joo },
publisher = {IEEE SigPort},
title = {COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING},
year = {2019} }
TY - EJOUR
T1 - COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING
AU - Nan Duan; Jose Cadena; Pedro Sotorrio; Jhi-Young Joo
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4863
ER -
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo. (2019). COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING. IEEE SigPort. http://sigport.org/4863
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo, 2019. COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING. Available at: http://sigport.org/4863.
Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo. (2019). "COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING." Web.
1. Nan Duan, Jose Cadena, Pedro Sotorrio, Jhi-Young Joo. COLLABORATIVE INFERENCE OF MISSING SMART ELECTRIC METER DATA FOR A BUILDING [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4863

Neural Variational Identification and Filtering

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10 May 2019 - 4:30pm
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variational_filtering_ICASSP.pptx

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[1] , "Neural Variational Identification and Filtering", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4403. Accessed: Sep. 25, 2020.
@article{4403-19,
url = {http://sigport.org/4403},
author = { },
publisher = {IEEE SigPort},
title = {Neural Variational Identification and Filtering},
year = {2019} }
TY - EJOUR
T1 - Neural Variational Identification and Filtering
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4403
ER -
. (2019). Neural Variational Identification and Filtering. IEEE SigPort. http://sigport.org/4403
, 2019. Neural Variational Identification and Filtering. Available at: http://sigport.org/4403.
. (2019). "Neural Variational Identification and Filtering." Web.
1. . Neural Variational Identification and Filtering [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4403

Learning to dynamically price electricity demand based on multi-armed bandit

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Authors:
Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh
Submitted On:
29 November 2018 - 1:42am
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Presentation4.pptx

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Presentation4.pptx

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[1] Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh, "Learning to dynamically price electricity demand based on multi-armed bandit ", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3823. Accessed: Sep. 25, 2020.
@article{3823-18,
url = {http://sigport.org/3823},
author = {Ahmadreza Moradipari; Cody Silva; Mahnoosh alizadeh },
publisher = {IEEE SigPort},
title = {Learning to dynamically price electricity demand based on multi-armed bandit },
year = {2018} }
TY - EJOUR
T1 - Learning to dynamically price electricity demand based on multi-armed bandit
AU - Ahmadreza Moradipari; Cody Silva; Mahnoosh alizadeh
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3823
ER -
Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh. (2018). Learning to dynamically price electricity demand based on multi-armed bandit . IEEE SigPort. http://sigport.org/3823
Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh, 2018. Learning to dynamically price electricity demand based on multi-armed bandit . Available at: http://sigport.org/3823.
Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh. (2018). "Learning to dynamically price electricity demand based on multi-armed bandit ." Web.
1. Ahmadreza Moradipari, Cody Silva, Mahnoosh alizadeh. Learning to dynamically price electricity demand based on multi-armed bandit [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3823

A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks

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Authors:
M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha
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28 November 2018 - 11:11am
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Presentation.pdf

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[1] M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha, "A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3821. Accessed: Sep. 25, 2020.
@article{3821-18,
url = {http://sigport.org/3821},
author = {M. Bazrafshan; N. Gatsis; M. Giacomoni; and A. F. Taha },
publisher = {IEEE SigPort},
title = {A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks},
year = {2018} }
TY - EJOUR
T1 - A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks
AU - M. Bazrafshan; N. Gatsis; M. Giacomoni; and A. F. Taha
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3821
ER -
M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha. (2018). A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks. IEEE SigPort. http://sigport.org/3821
M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha, 2018. A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks. Available at: http://sigport.org/3821.
M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha. (2018). "A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks." Web.
1. M. Bazrafshan, N. Gatsis, M. Giacomoni, and A. F. Taha. A Fixed-Point Iteration for Steady-State Analysis of Water Distribution Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3821

Persistent Hyperspectral Observations of the Urban Lightscape

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Authors:
J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf
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27 November 2018 - 6:33pm
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slides for lecture MHI L.2.3.

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[1] J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf, "Persistent Hyperspectral Observations of the Urban Lightscape", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3817. Accessed: Sep. 25, 2020.
@article{3817-18,
url = {http://sigport.org/3817},
author = {J. Baur; G. Dobler; F. Bianco; M. Sharma; A. Karpf },
publisher = {IEEE SigPort},
title = {Persistent Hyperspectral Observations of the Urban Lightscape},
year = {2018} }
TY - EJOUR
T1 - Persistent Hyperspectral Observations of the Urban Lightscape
AU - J. Baur; G. Dobler; F. Bianco; M. Sharma; A. Karpf
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3817
ER -
J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf. (2018). Persistent Hyperspectral Observations of the Urban Lightscape. IEEE SigPort. http://sigport.org/3817
J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf, 2018. Persistent Hyperspectral Observations of the Urban Lightscape. Available at: http://sigport.org/3817.
J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf. (2018). "Persistent Hyperspectral Observations of the Urban Lightscape." Web.
1. J. Baur, G. Dobler, F. Bianco, M. Sharma, A. Karpf. Persistent Hyperspectral Observations of the Urban Lightscape [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3817

Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks


Recently, cyber-attacks to smart energy grid has become a critical subject for Energy System Operators (ESOs). To keep the energy grid cyber-secured, the attacker’s behavior, resources and goals must be modeled properly. Then, the counter-measurement actions can be designed based on the attacker's model. In this paper, a new zero-sum game based on the Generative Adversarial Networks (GANs) is presented. The attacker to energy smart grid pursues two objects.

Paper Details

Authors:
Heidar Malki, Zhu Han
Submitted On:
27 November 2018 - 5:25am
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poster_GlobalSIP.pdf

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[1] Heidar Malki, Zhu Han, "Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/3809. Accessed: Sep. 25, 2020.
@article{3809-18,
url = {http://sigport.org/3809},
author = {Heidar Malki; Zhu Han },
publisher = {IEEE SigPort},
title = {Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks},
year = {2018} }
TY - EJOUR
T1 - Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks
AU - Heidar Malki; Zhu Han
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/3809
ER -
Heidar Malki, Zhu Han. (2018). Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks. IEEE SigPort. http://sigport.org/3809
Heidar Malki, Zhu Han, 2018. Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks. Available at: http://sigport.org/3809.
Heidar Malki, Zhu Han. (2018). "Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks." Web.
1. Heidar Malki, Zhu Han. Cyber attacks on Smart Energy Grids Using Generative Adversarial Networks [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/3809

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