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Emerging: Smart Grid & Energy Management

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.

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Authors:
Chandra Bajracharya
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23 February 2016 - 1:44pm
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Attack Detection in Smart Grid @ GlobalSIP 2015.pdf

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[1] Chandra Bajracharya, "Detection of False Data Injection Attacks in Smart Grid Communication Systems", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/529. Accessed: Jun. 02, 2020.
@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

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Authors:
June Zhang, Soummya Kar, Gabriela Hug, Jose M. F. Moura
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23 February 2016 - 1:44pm
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[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: Jun. 02, 2020.
@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

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Authors:
Grant Fisher, April Hersey, Nipun Batra, Jack Kelly, Amarjeet Singh, William Knottenbelt, Alex Rogers
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23 February 2016 - 1:44pm
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[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: Jun. 02, 2020.
@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.

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Authors:
Hairong Qi, David Fugatey, Teja Kuruganti
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23 February 2016 - 1:44pm
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GSIP2015-ALIREZA RAHIMPOUR.pdf

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[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: Jun. 02, 2020.
@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.

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Paper Details

Authors:
Nikolaos Bourbakis, Lefteri H. Tsoukalas
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23 February 2016 - 1:44pm
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[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: Jun. 02, 2020.
@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.

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Authors:
José M.F. Moura, Mario Bergès
Submitted On:
23 February 2016 - 1:44pm
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KyleAnderson_GlobalSIP2015_Ver2.pdf

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[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: Jun. 02, 2020.
@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

Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation


A two-stage stochastic programming approach is pursued to optimally place and size photovoltaic (PV) inverters in a radial distribution network under solar irradiance and load uncertainties. First-stage variables include binary PV unit placement as well as continuous real and apparent power capacities of the inverters. Second-stage decisions comprise reactive power compensation, power flows, and nodal voltages, which are determined adaptively to the uncertainty. The objective is to minimize installation cost and expected thermal losses on the network.

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23 February 2016 - 1:44pm
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globalsip2015.pdf

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[1] , "Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/467. Accessed: Jun. 02, 2020.
@article{467-15,
url = {http://sigport.org/467},
author = { },
publisher = {IEEE SigPort},
title = {Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation},
year = {2015} }
TY - EJOUR
T1 - Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation
AU -
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/467
ER -
. (2015). Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation. IEEE SigPort. http://sigport.org/467
, 2015. Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation. Available at: http://sigport.org/467.
. (2015). "Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation." Web.
1. . Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/467

Optimal Scheduling of Networked Energy Storages

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Authors:
A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder
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23 February 2016 - 1:44pm
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[1] A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder, "Optimal Scheduling of Networked Energy Storages", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/459. Accessed: Jun. 02, 2020.
@article{459-15,
url = {http://sigport.org/459},
author = {A. Oroojlooyjadid;D. Fooladivanda ; J. A. Taylor; L. V. Snyder },
publisher = {IEEE SigPort},
title = {Optimal Scheduling of Networked Energy Storages},
year = {2015} }
TY - EJOUR
T1 - Optimal Scheduling of Networked Energy Storages
AU - A. Oroojlooyjadid;D. Fooladivanda ; J. A. Taylor; L. V. Snyder
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/459
ER -
A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder. (2015). Optimal Scheduling of Networked Energy Storages. IEEE SigPort. http://sigport.org/459
A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder, 2015. Optimal Scheduling of Networked Energy Storages. Available at: http://sigport.org/459.
A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder. (2015). "Optimal Scheduling of Networked Energy Storages." Web.
1. A. Oroojlooyjadid,D. Fooladivanda , J. A. Taylor, L. V. Snyder. Optimal Scheduling of Networked Energy Storages [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/459

Power Dispatch and Load Control with Generation Uncertainty


In this paper, we focus on the problem of joint load scheduling and generation management to better match supply and demand. We formulate an optimization problem to jointly minimize the generation cost and discomfort cost of the users subject to the voltage and power balance equations for the equivalent circuit of the power system. The optimal power flow (OPF) equations are solved using semidefinite programming (SDP) relaxation technique. In our system model, we assume that users can exploit renewable energy resources (RERs).

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Authors:
Pedram Samadi, Vincent W.S. Wong, Robert Schober
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23 February 2016 - 1:44pm
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[1] Pedram Samadi, Vincent W.S. Wong, Robert Schober, "Power Dispatch and Load Control with Generation Uncertainty", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/450. Accessed: Jun. 02, 2020.
@article{450-15,
url = {http://sigport.org/450},
author = {Pedram Samadi; Vincent W.S. Wong; Robert Schober },
publisher = {IEEE SigPort},
title = {Power Dispatch and Load Control with Generation Uncertainty},
year = {2015} }
TY - EJOUR
T1 - Power Dispatch and Load Control with Generation Uncertainty
AU - Pedram Samadi; Vincent W.S. Wong; Robert Schober
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/450
ER -
Pedram Samadi, Vincent W.S. Wong, Robert Schober. (2015). Power Dispatch and Load Control with Generation Uncertainty. IEEE SigPort. http://sigport.org/450
Pedram Samadi, Vincent W.S. Wong, Robert Schober, 2015. Power Dispatch and Load Control with Generation Uncertainty. Available at: http://sigport.org/450.
Pedram Samadi, Vincent W.S. Wong, Robert Schober. (2015). "Power Dispatch and Load Control with Generation Uncertainty." Web.
1. Pedram Samadi, Vincent W.S. Wong, Robert Schober. Power Dispatch and Load Control with Generation Uncertainty [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/450

Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation

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Authors:
Nikolaos Gatsis
Submitted On:
15 December 2016 - 10:02pm
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[1] Nikolaos Gatsis, "Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation", IEEE SigPort, 2015. [Online]. Available: http://sigport.org/437. Accessed: Jun. 02, 2020.
@article{437-15,
url = {http://sigport.org/437},
author = {Nikolaos Gatsis },
publisher = {IEEE SigPort},
title = {Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation},
year = {2015} }
TY - EJOUR
T1 - Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation
AU - Nikolaos Gatsis
PY - 2015
PB - IEEE SigPort
UR - http://sigport.org/437
ER -
Nikolaos Gatsis. (2015). Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation. IEEE SigPort. http://sigport.org/437
Nikolaos Gatsis, 2015. Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation. Available at: http://sigport.org/437.
Nikolaos Gatsis. (2015). "Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation." Web.
1. Nikolaos Gatsis. Placing and Sizing Distributed Photovoltaic Generators for Optimal Reactive Power Compensation [Internet]. IEEE SigPort; 2015. Available from : http://sigport.org/437

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