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DRL-HEMS: Deep Reinforcement Learning Agent for Demand Response in Home Energy Management Systems Considering Customers and Operators Perspectives
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
With the smart grid and smart homes development, different data are made available, providing a source for training algorithms, such as deep reinforcement learning (DRL), in smart grid applications. These algorithms allowed ...
Feature selection for effective health index diagnoses of power transformers
(
Institute of Electrical and Electronics Engineers Inc.
, 2018 , Article)
This letter investigates an approach based on feature selection and classification techniques to reduce assessment complexities of power transformers. This approach decreases the number of features by extracting the most ...
Model-based risk assessment for cyber physical systems security
(
Elsevier
, 2020 , Article)
Traditional techniques for Cyber-Physical Systems (CPS) security design either treat the cyber and physical systems independently, or do not address the specific vulnerabilities of real time embedded controllers and networks ...
A CNN-Sequence-to-Sequence network with attention for residential short-term load forecasting
(
Elsevier
, 2022 , Article)
Residential short-term load forecasting has become an essential process to develop successful demand response strategies, and help utilities and customers optimize energy production and consumption. Most previous works ...
Wavelet Transform with Histogram-Based Threshold Estimation for Online Partial Discharge Signal Denoising
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Article)
Online condition assessment of the power system devices and apparatus is considered vital for robust operation, where partial discharge (PD) detection is employed as a diagnosis tool. PD measurements, however, are corrupted ...
Towards scalable traffic management in cloud data centers
(
Institute of Electrical and Electronics Engineers Inc.
, 2014 , Article)
Cloud Computing is becoming a mainstream paradigm, as organizations, large and small, begin to harness its benefits. This novel technology brings new challenges, mostly in the protocols that govern its underlying infrastructure. ...
Enhancing medical named entity recognition with an extended segment representation technique
(
Elsevier
, 2015 , Article)
Objective: The objective of this paper is to formulate an extended segment representation (SR) technique to enhance named entity recognition (NER) in medical applications. Methods: An extension to the IOBES (Inside/Outsi ...
Transport layer performance analysis and optimization for smart metering infrastructure
(
Elsevier
, 2014 , Article)
In a smart power grid, collecting data from a large number of smart meters and sensors over the conventional one-hop transmission control protocol (TCP) communication is prone to a high packet loss rate and degraded ...
A deep learning based static taint analysis approach for IoT software vulnerability location
(
Elsevier B.V.
, 2020 , Article)
Computer system vulnerabilities, computer viruses, and cyber attacks are rooted in software vulnerabilities. Reducing software defects, improving software reliability and security are urgent problems in the development of ...
Deep CNN-Based real-time traffic light detector for self-driving vehicles
(
Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
Due to the unavailability of Vehicle-to-Infrastructure (V2I) communication in current transportation systems, Traffic Light Detection (TLD) is still considered an important module in autonomous vehicles and Driver Assistance ...