Sorry, you need to enable JavaScript to visit this website.

Emerging: Smart Grid & Energy Management

Decentralized Coordination of Energy Resources in Electricity Distribution Networks

Paper Details

Authors:
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud
Submitted On:
24 March 2016 - 7:39pm
Short Link:
Type:
Event:
Presenter's Name:
Paper Code:
Document Year:
Cite

Document Files

05_talk_ICASSP_DecentrCoordDERs.pdf

(239 downloads)

Keywords

Subscribe

[1] Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud, "Decentralized Coordination of Energy Resources in Electricity Distribution Networks", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/1014. Accessed: Sep. 20, 2017.
@article{1014-16,
url = {http://sigport.org/1014},
author = {Nikolaos Gatsis; Likhitha Yalamanchili; Mohammadhafez Bazrafshan; Paresh Risbud },
publisher = {IEEE SigPort},
title = {Decentralized Coordination of Energy Resources in Electricity Distribution Networks},
year = {2016} }
TY - EJOUR
T1 - Decentralized Coordination of Energy Resources in Electricity Distribution Networks
AU - Nikolaos Gatsis; Likhitha Yalamanchili; Mohammadhafez Bazrafshan; Paresh Risbud
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/1014
ER -
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. (2016). Decentralized Coordination of Energy Resources in Electricity Distribution Networks. IEEE SigPort. http://sigport.org/1014
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud, 2016. Decentralized Coordination of Energy Resources in Electricity Distribution Networks. Available at: http://sigport.org/1014.
Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. (2016). "Decentralized Coordination of Energy Resources in Electricity Distribution Networks." Web.
1. Nikolaos Gatsis, Likhitha Yalamanchili, Mohammadhafez Bazrafshan, Paresh Risbud. Decentralized Coordination of Energy Resources in Electricity Distribution Networks [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/1014

Privacy-Preserving Energy Flow Control in Smart Grids

Paper Details

Authors:
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund
Submitted On:
23 March 2016 - 11:03am
Short Link:
Type:
Event:
Presenter's Name:

Document Files

Zuxing Li.pdf

(204 downloads)

Keywords

Subscribe

[1] Zuxing Li, Tobias J. Oechtering, Mikael Skoglund, "Privacy-Preserving Energy Flow Control in Smart Grids", IEEE SigPort, 2016. [Online]. Available: http://sigport.org/995. Accessed: Sep. 20, 2017.
@article{995-16,
url = {http://sigport.org/995},
author = {Zuxing Li; Tobias J. Oechtering; Mikael Skoglund },
publisher = {IEEE SigPort},
title = {Privacy-Preserving Energy Flow Control in Smart Grids},
year = {2016} }
TY - EJOUR
T1 - Privacy-Preserving Energy Flow Control in Smart Grids
AU - Zuxing Li; Tobias J. Oechtering; Mikael Skoglund
PY - 2016
PB - IEEE SigPort
UR - http://sigport.org/995
ER -
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. (2016). Privacy-Preserving Energy Flow Control in Smart Grids. IEEE SigPort. http://sigport.org/995
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund, 2016. Privacy-Preserving Energy Flow Control in Smart Grids. Available at: http://sigport.org/995.
Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. (2016). "Privacy-Preserving Energy Flow Control in Smart Grids." Web.
1. Zuxing Li, Tobias J. Oechtering, Mikael Skoglund. Privacy-Preserving Energy Flow Control in Smart Grids [Internet]. IEEE SigPort; 2016. Available from : http://sigport.org/995

Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring


v3.pdf

PDF icon v3.pdf (322 downloads)

Paper Details

Authors:
Lutz Lampe
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

v3.pdf

(322 downloads)

Keywords

Subscribe

[1] Lutz Lampe, "Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/563. Accessed: Sep. 20, 2017.
@article{563-15,
url = {http://sigport.org/563},
author = {Lutz Lampe },
publisher = {IEEE SigPort},
title = {Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring},
year = {2015} }
TY - EJOUR
T1 - Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring
AU - Lutz Lampe
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/563
ER -
Lutz Lampe. (2015). Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring. IEEE SigPort. http://sigport.org/563
Lutz Lampe, 2015. Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring. Available at: http://sigport.org/563.
Lutz Lampe. (2015). "Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring." Web.
1. Lutz Lampe. Single-Channel Compressive Sampling of Electrical Data for Non-Intrusive Load Monitoring [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/563

Detection of False Data Injection Attacks in Smart Grid Communication Systems


The transformation of traditional energy networks to smart grids can assist in revolutionizing the energy industry
in terms of reliability, performance and manageability. However, increased connectivity of power grid assets for bidirectional communications presents severe security vulnerabilities. In this paper, we investigate Chi-square detector and cosine similarity matching approaches for attack detection in smart grids where Kalman filter estimation is used to measure any deviation from actual measurements. The cosine similarity matching approach is

Paper Details

Authors:
Chandra Bajracharya
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

Attack Detection in Smart Grid @ GlobalSIP 2015.pdf

(297 downloads)

Keywords

Subscribe

[1] Chandra Bajracharya, "Detection of False Data Injection Attacks in Smart Grid Communication Systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/538. Accessed: Sep. 20, 2017.
@article{538-15,
url = {http://sigport.org/538},
author = {Chandra Bajracharya },
publisher = {IEEE SigPort},
title = {Detection of False Data Injection Attacks in Smart Grid Communication Systems},
year = {2015} }
TY - EJOUR
T1 - Detection of False Data Injection Attacks in Smart Grid Communication Systems
AU - Chandra Bajracharya
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/538
ER -
Chandra Bajracharya. (2015). Detection of False Data Injection Attacks in Smart Grid Communication Systems. IEEE SigPort. http://sigport.org/538
Chandra Bajracharya, 2015. Detection of False Data Injection Attacks in Smart Grid Communication Systems. Available at: http://sigport.org/538.
Chandra Bajracharya. (2015). "Detection of False Data Injection Attacks in Smart Grid Communication Systems." Web.
1. Chandra Bajracharya. Detection of False Data Injection Attacks in Smart Grid Communication Systems [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/538

Detection of False Data Injection Attacks in Smart Grid Communication Systems


The transformation of traditional energy networks to smart grids can assist in revolutionizing the energy industry in terms of reliability, performance and manageability. However, increased connectivity of power grid assets for bidirectional communications presents severe security vulnerabilities. In this paper, we investigate Chi-square detector and cosine similarity matching approaches for attack detection in smart grids where Kalman filter estimation is used to measure any deviation from actual measurements.

Paper Details

Authors:
Chandra Bajracharya
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Document Year:
Cite

Document Files

Attack Detection in Smart Grid @ GlobalSIP 2015.pdf

(293 downloads)

Keywords

Subscribe

[1] Chandra Bajracharya, "Detection of False Data Injection Attacks in Smart Grid Communication Systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/529. Accessed: Sep. 20, 2017.
@article{529-15,
url = {http://sigport.org/529},
author = {Chandra Bajracharya },
publisher = {IEEE SigPort},
title = {Detection of False Data Injection Attacks in Smart Grid Communication Systems},
year = {2015} }
TY - EJOUR
T1 - Detection of False Data Injection Attacks in Smart Grid Communication Systems
AU - Chandra Bajracharya
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/529
ER -
Chandra Bajracharya. (2015). Detection of False Data Injection Attacks in Smart Grid Communication Systems. IEEE SigPort. http://sigport.org/529
Chandra Bajracharya, 2015. Detection of False Data Injection Attacks in Smart Grid Communication Systems. Available at: http://sigport.org/529.
Chandra Bajracharya. (2015). "Detection of False Data Injection Attacks in Smart Grid Communication Systems." Web.
1. Chandra Bajracharya. Detection of False Data Injection Attacks in Smart Grid Communication Systems [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/529

Multilevel Distributed Approach for DC Optimal Power Flow

Paper Details

Authors:
June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

GlobalSIP 2015-3-ppsplit.pdf

(259 downloads)

Keywords

Subscribe

[1] June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura, "Multilevel Distributed Approach for DC Optimal Power Flow", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/522. Accessed: Sep. 20, 2017.
@article{522-15,
url = {http://sigport.org/522},
author = {June Zhang; Soummya Kar; Gabriela Hug; Jose M. F. Moura },
publisher = {IEEE SigPort},
title = {Multilevel Distributed Approach for DC Optimal Power Flow},
year = {2015} }
TY - EJOUR
T1 - Multilevel Distributed Approach for DC Optimal Power Flow
AU - June Zhang; Soummya Kar; Gabriela Hug; Jose M. F. Moura
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/522
ER -
June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura. (2015). Multilevel Distributed Approach for DC Optimal Power Flow. IEEE SigPort. http://sigport.org/522
June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura, 2015. Multilevel Distributed Approach for DC Optimal Power Flow. Available at: http://sigport.org/522.
June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura. (2015). "Multilevel Distributed Approach for DC Optimal Power Flow." Web.
1. June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura. Multilevel Distributed Approach for DC Optimal Power Flow [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/522

Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring

Paper Details

Authors:
Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

presentation-final.pdf

(297 downloads)

Keywords

Subscribe

[1] Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers, "Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring ", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/506. Accessed: Sep. 20, 2017.
@article{506-15,
url = {http://sigport.org/506},
author = {Grant Fisher; April Hersey; Nipun Batra; Jack Kelly; Amarjeet Singh; William Knottenbelt; Alex Rogers },
publisher = {IEEE SigPort},
title = {Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring },
year = {2015} }
TY - EJOUR
T1 - Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring
AU - Grant Fisher; April Hersey; Nipun Batra; Jack Kelly; Amarjeet Singh; William Knottenbelt; Alex Rogers
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/506
ER -
Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers. (2015). Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring . IEEE SigPort. http://sigport.org/506
Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers, 2015. Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring . Available at: http://sigport.org/506.
Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers. (2015). "Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring ." Web.
1. Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers. Dataport and NILMTK: A Building Data Set Designed for Non-intrusive Load Monitoring [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/506

Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing


Load disaggregation-Alireza Rahimpour-Global SIP 2015

Heating, Ventilating and Air Conditioning units (HVAC) are a major electrical energy consumer in buildings. Monitoring of the operation and energy consumption of HVAC would increase the awareness of building owners and maintenance service providers of the condition and quality of performance of these units, enabling conditioned-based maintenance which would help achieving high efficiency in energy consumption.

Paper Details

Authors:
Hairong Qi, David Fugatey, Teja Kuruganti
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

GSIP2015-ALIREZA RAHIMPOUR.pdf

(273 downloads)

Keywords

Subscribe

[1] Hairong Qi, David Fugatey, Teja Kuruganti, "Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/504. Accessed: Sep. 20, 2017.
@article{504-15,
url = {http://sigport.org/504},
author = {Hairong Qi; David Fugatey; Teja Kuruganti },
publisher = {IEEE SigPort},
title = {Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing},
year = {2015} }
TY - EJOUR
T1 - Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing
AU - Hairong Qi; David Fugatey; Teja Kuruganti
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/504
ER -
Hairong Qi, David Fugatey, Teja Kuruganti. (2015). Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing. IEEE SigPort. http://sigport.org/504
Hairong Qi, David Fugatey, Teja Kuruganti, 2015. Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing. Available at: http://sigport.org/504.
Hairong Qi, David Fugatey, Teja Kuruganti. (2015). "Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing." Web.
1. Hairong Qi, David Fugatey, Teja Kuruganti. Non-Intrusive Load Monitoring of HVAC Components using Signal Unmixing [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/504

Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems


Paper presented in "Symposium on Signal and Information Processing for Optimizing Future Energy Systems" that was part of GlobalSip 2015 Conference.

Citation of the paper:

M. Alamaniotis, N. Bourbakis, and L.H. Tsoukalas, “Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems,” 3rd IEEE Global Conference on Signal and Information Processing, Orlando, FL, December 2015, pp. 1-5.

Authors:

Paper Details

Authors:
Nikolaos Bourbakis, Lefteri H. Tsoukalas
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

GlobalSip_2015_MA.pdf

(279 downloads)

Keywords

Subscribe

[1] Nikolaos Bourbakis, Lefteri H. Tsoukalas, "Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/483. Accessed: Sep. 20, 2017.
@article{483-15,
url = {http://sigport.org/483},
author = {Nikolaos Bourbakis; Lefteri H. Tsoukalas },
publisher = {IEEE SigPort},
title = {Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems},
year = {2015} }
TY - EJOUR
T1 - Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems
AU - Nikolaos Bourbakis; Lefteri H. Tsoukalas
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/483
ER -
Nikolaos Bourbakis, Lefteri H. Tsoukalas. (2015). Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems. IEEE SigPort. http://sigport.org/483
Nikolaos Bourbakis, Lefteri H. Tsoukalas, 2015. Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems. Available at: http://sigport.org/483.
Nikolaos Bourbakis, Lefteri H. Tsoukalas. (2015). "Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems." Web.
1. Nikolaos Bourbakis, Lefteri H. Tsoukalas. Very-Short Term Forecasting of Electricity Price Signals Using a Pareto Composition of Kernel Machines in Smart Power Systems [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/483

Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation


Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation

Obtaining per-device energy consumption estimates in Non-Intrusive Load Monitoring (NILM) has proven to be a challenging task. We present Power Consumption Clustered Non-Intrusive Load Monitoring (PCC-NILM), a relaxation of the NILM problem that estimates the energy consumed by devices operating in different power ranges. The Approximate Power Trace Decomposition Algorithm (APTDA) is presented as an unsupervised, data-driven solution to the PCC-NILM problem.

Paper Details

Authors:
José M.F. Moura, Mario Bergès
Submitted On:
23 February 2016 - 1:44pm
Short Link:
Type:
Event:
Presenter's Name:
Document Year:
Cite

Document Files

KyleAnderson_GlobalSIP2015_Ver2.pdf

(313 downloads)

Keywords

Subscribe

[1] José M.F. Moura, Mario Bergès, "Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/481. Accessed: Sep. 20, 2017.
@article{481-15,
url = {http://sigport.org/481},
author = {José M.F. Moura; Mario Bergès },
publisher = {IEEE SigPort},
title = {Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation},
year = {2015} }
TY - EJOUR
T1 - Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation
AU - José M.F. Moura; Mario Bergès
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/481
ER -
José M.F. Moura, Mario Bergès. (2015). Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation. IEEE SigPort. http://sigport.org/481
José M.F. Moura, Mario Bergès, 2015. Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation. Available at: http://sigport.org/481.
José M.F. Moura, Mario Bergès. (2015). "Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation." Web.
1. José M.F. Moura, Mario Bergès. Non-Intrusive Load Monitoring: A Power Consumption Based Relaxation [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/481

Pages