Subhash Lakshminarayana
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View article: A benchmarking study of instance segmentation methods for photovoltaic cell defect detection using electroluminescence images
A benchmarking study of instance segmentation methods for photovoltaic cell defect detection using electroluminescence images Open
View article: A Distributed Local Energy Market Clearing Framework Using a Two-Loop ADMM Method
A Distributed Local Energy Market Clearing Framework Using a Two-Loop ADMM Method Open
The diversity of prosumers' resources in energy communities can provide significant technical and economic benefits to both prosumers and the distribution system operator (DSO). To maximize these benefits, a coordination framework is requi…
View article: Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids
Moving Target Defense Against Adversarial False Data Injection Attacks In Power Grids Open
Machine learning (ML)-based detectors have been shown to be effective in detecting stealthy false data injection attacks (FDIAs) that can bypass conventional bad data detectors (BDDs) in power systems. However, ML models are also vulnerabl…
View article: Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions
Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions Open
Moving target defense (MTD) in power grids is an emerging defense technique that has gained prominence in the recent past. It aims to solve the long-standing problem of securing the power grid against stealthy attacks. The key idea behind …
View article: Vae-Gan Based Price Manipulation in Coordinated Local Energy Markets
Vae-Gan Based Price Manipulation in Coordinated Local Energy Markets Open
View article: Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation
Survey of Load-Altering Attacks Against Power Grids: Attack Impact, Detection and Mitigation Open
The growing penetration of IoT devices in power grids despite its benefits, raises cybersecurity concerns. In particular, load-altering attacks (LAAs) targeting high-wattage IoT-controllable load devices pose serious risks to grid stabilit…
View article: Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions
Survey of Moving Target Defense in Power Grids: Design Principles, Tradeoffs, and Future Directions Open
Moving target defense (MTD) in power grids is an emerging defense technique that has gained prominence in the recent past. It aims to solve the long-standing problem of securing the power grid against stealthy attacks. The key idea behind …
View article: A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks
A Game-Theoretic Approach for PMU Deployment Against False Data Injection Attacks Open
Phasor Measurement Units (PMUs) are used in the measurement, control and protection of power grids. However, deploying PMUs at every bus in a power system is prohibitively expensive, necessitating partial PMU placement that can ensure syst…
View article: The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads Open
Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LAAs on the voltage profile of distribution systems, taking i…
View article: Uncovering Load-Altering Attacks Against $N-1$ Secure Power Grids: A Rare-Event Sampling Approach
Uncovering Load-Altering Attacks Against $N-1$ Secure Power Grids: A Rare-Event Sampling Approach Open
Load-alteringattacks (LAAs) targeting a large number of IoT-based high-wattage devices (e.g., smart electric vehicle charging stations) can lead to serious disruptions of power grid operations. In this work, we aim to uncover spatiotempora…
View article: Distribution System Reconfiguration to Mitigate Load Altering Attacks via Stackelberg Games
Distribution System Reconfiguration to Mitigate Load Altering Attacks via Stackelberg Games Open
The widespread integration of IoT-controllable devices (e.g., smart EV charging stations and heat pumps) into modern power systems enhances capabilities but introduces critical cybersecurity risks. Specifically, these devices are susceptib…
View article: Condition Monitoring of Wind Turbine Converters with Limited and Unbalanced SCADA Data
Condition Monitoring of Wind Turbine Converters with Limited and Unbalanced SCADA Data Open
View article: A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations
A review of automated solar photovoltaic defect detection systems: Approaches, challenges, and future orientations Open
The development of Photovoltaic (PV) technology has paved the path to the exponential growth of solar cell deployment worldwide. Nevertheless, the energy efficiency of solar cells is often limited by resulting defects that can reduce their…
View article: The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads
The Impact of Load Altering Attacks on Distribution Systems with ZIP Loads Open
Load-altering attacks (LAAs) pose a significant threat to power systems with Internet of Things (IoT)-controllable load devices. This research examines the detrimental impact of LAAs on the voltage profile of distribution systems, taking i…
View article: Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks
Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks Open
Large-scale load-altering attacks (LAAs) are known to severely disrupt power grid operations by manipulating several internet-of-things (IoT)-enabled load devices. In this work, we analyze power grid cascading failures induced by such atta…
View article: Cybersecurity Threats to Power Grid Operations from the Demand-Side Response Ecosystem
Cybersecurity Threats to Power Grid Operations from the Demand-Side Response Ecosystem Open
This article focuses on cyber security threats from IoT-enabled energy smart appliances (ESAs) such as smart heat pumps, electric vehicle chargers, etc., to power grid operations. It presents an in-depth analysis of the demand side threats…
View article: Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-based Detection Mechanisms
Charge Manipulation Attacks Against Smart Electric Vehicle Charging Stations and Deep Learning-based Detection Mechanisms Open
The widespread deployment of "smart" electric vehicle charging stations (EVCSs) will be a key step toward achieving green transportation. The connectivity features of smart EVCSs can be utilized to schedule EV charging operations while res…
View article: Optimal Placement and Power Supply of Distributed Generation to Minimize Power Losses
Optimal Placement and Power Supply of Distributed Generation to Minimize Power Losses Open
An increasing number of renewable energy-based distribution generation (DG) units are being deployed in electric distribution systems. Therefore, it is of paramount importance to optimize the installation locations as well as the power sup…
View article: Communication Reduction for Power Systems: An Observer-Based Event-Triggered Approach
Communication Reduction for Power Systems: An Observer-Based Event-Triggered Approach Open
The management of distributed and heterogeneous modern power networks necessitates the deployment of communication links, often characterized by limited bandwidth. This paper presents an event detection mechanism that significantly reduces…
View article: Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach
Uncovering Load-Altering Attacks Against N-1 Secure Power Grids: A Rare-Event Sampling Approach Open
Load-altering attacks targetting a large number of IoT-based high-wattage devices (e.g., smart electric vehicle charging stations) can lead to serious disruptions of power grid operations. In this work, we aim to uncover spatiotemporal cha…
View article: Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks
Analysis of Cascading Failures Due to Dynamic Load-Altering Attacks Open
Large-scale load-altering attacks (LAAs) are known to severely disrupt power grid operations by manipulating several internet-of-things (IoT)-enabled load devices. In this work, we analyze power grid cascading failures induced by such atta…
View article: Impact of Covid-19 Pandemic on Self Help Groups (SHGs) and Microfinance Institutions (MFIs)
Impact of Covid-19 Pandemic on Self Help Groups (SHGs) and Microfinance Institutions (MFIs) Open
View article: A Study on Reasons to use Microfinance Products in Rural District of Bengaluru
A Study on Reasons to use Microfinance Products in Rural District of Bengaluru Open
View article: A School work on "Whistle blowing policies and Performance of Ujjivan Small Finance Bank
A School work on "Whistle blowing policies and Performance of Ujjivan Small Finance Bank Open
View article: Cybersecurity for Modern Smart Grid Against Emerging Threats
Cybersecurity for Modern Smart Grid Against Emerging Threats Open
Smart Grid is a power grid system that uses digital communication\ntechnologies. By deploying intelligent devices throughout the power grid\ninfrastructure,from power generation to consumption, and enabling communication\namong them, it re…
View article: A Study on “Micro finance and its role in societal upliftment of Women”
A Study on “Micro finance and its role in societal upliftment of Women” Open
View article: Localizing Load-Altering Attacks Against Power Grids Using Deep Capsule Nets
Localizing Load-Altering Attacks Against Power Grids Using Deep Capsule Nets Open
Recent research has shown that the security of power grids can be seriously threatened by botnet-type cyber attacks that target a large number of high-wattage smart electrical appliances owned by end-users. Accurate detection and localizat…
View article: Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning
Localization of Coordinated Cyber-Physical Attacks in Power Grids Using Moving Target Defense and Deep Learning Open
As one of the most sophisticated attacks against power grids, coordinated cyber-physical attacks (CCPAs) damage the power grid's physical infrastructure and use a simultaneous cyber attack to mask its effect. This work proposes a novel app…
View article: Mitigating Load-Altering Attacks Against Power Grids Using Cyber-Resilient Economic Dispatch
Mitigating Load-Altering Attacks Against Power Grids Using Cyber-Resilient Economic Dispatch Open
Large-scale Load-Altering Attacks (LAAs) against Internet-of-Things (IoT) enabled high-wattage electrical appliances (e.g., wifi-enabled air-conditioners, electric vehicles, etc.) pose a serious threat to power systems' security and stabil…
View article: Analysis of Load-Altering Attacks Against Power Grids: A Rare-Event Sampling Approach
Analysis of Load-Altering Attacks Against Power Grids: A Rare-Event Sampling Approach Open
By manipulating tens of thousands of internet-of-things (IoT) enabled high-wattage electrical appliances (e.g., WiFi-controlled air-conditioners), large-scale load-altering attacks (LAAs) can cause severe disruptions to power grid operatio…