A detailed review of power system resilience enhancement pillars
The increasing occurrence of extreme vulnerabilities to electric grids due to natural
catastrophes and cyber-attacks, has resulted in a rise in global power outages. This has …
catastrophes and cyber-attacks, has resulted in a rise in global power outages. This has …
Bounded and unbiased composite differential privacy
The objective of differential privacy (DP) is to protect privacy by producing an output
distribution that is indistinguishable between any two neighboring databases. However …
distribution that is indistinguishable between any two neighboring databases. However …
DPWGAN: high-quality load profiles synthesis with differential privacy guarantees
Smart meters have collected massive amounts of fine-grained load data from users,
enabling various load profile analyses that can help improve the efficiency of smart grids …
enabling various load profile analyses that can help improve the efficiency of smart grids …
ABDP: Accurate Billing on Differentially Private Data Reporting for Smart Grids
While smart grid significantly facilitates energy efficiency by using users' power consumption
data, it poses privacy leakage risk for user personal behaviors. Differential privacy (DP) has …
data, it poses privacy leakage risk for user personal behaviors. Differential privacy (DP) has …
From time-series to hybrid models: advancements in short-term load forecasting embracing smart grid paradigm
This review paper is a foundational resource for power distribution and management
decisions, thoroughly examining short-term load forecasting (STLF) models within power …
decisions, thoroughly examining short-term load forecasting (STLF) models within power …
MSDC: exploiting multi-state power consumption in non-intrusive load monitoring based on a dual-CNN model
Non-intrusive load monitoring (NILM) aims to decompose aggregated electrical usage
signal into appliance-specific power consumption and it amounts to a classical example of …
signal into appliance-specific power consumption and it amounts to a classical example of …
Preen: An aggregation mechanism for privacy-preserving smart-metering communications
T Wang, J **, X Gu, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The widespread use of home consumer electronics (CEs) provides residents facility,
assistance and comfort. Meanwhile, smart meters are deployed at households to optimize …
assistance and comfort. Meanwhile, smart meters are deployed at households to optimize …
[HTML][HTML] Artificial intelligence-enabled probabilistic load demand scheduling with dynamic pricing involving renewable resource
Residential demand response is one of the key enabling technologies which plays an
important role in managing the load demand of prosumers. However, the load scheduling …
important role in managing the load demand of prosumers. However, the load scheduling …
Optimal trading mechanism based on differential privacy protection and stackelberg game in Big Data market
Big data has become a fundamental resource and a commodity in economic activities, thus,
it is necessary to build a market model capable of supporting efficient data trading. However …
it is necessary to build a market model capable of supporting efficient data trading. However …
Maintaining Privacy in Smart Grid: Utilizing the Adversarial Attack Paradigm to Counter Non-Intrusive Load Monitoring Models
The non-intrusive load monitoring (NILM) technique, through its use of various deep neural
networks (DNNs), is capable of learning residential appliances' usage patterns from …
networks (DNNs), is capable of learning residential appliances' usage patterns from …