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- ArticleOctober 2024
Automation Level Taxonomy for Time Series Forecasting Services: Guideline for Real-World Smart Grid Applications
- Stefan Meisenbacher,
- Johannes Galenzowski,
- Kevin Förderer,
- Wolfgang Suess,
- Simon Waczowicz,
- Ralf Mikut,
- Veit Hagenmeyer
AbstractAchieving net-zero carbon emissions necessitates the major transformation of electrical grids into smart grids. In this context, urban districts play a crucial role in the flexible balancing of electricity demand and supply, which involves solving ...
- ArticleAugust 2024
Fault Reconfiguration of Distribution Networks Using an Enhanced Multimodal Multi-objective Evolutionary Algorithm
AbstractIn the event of failures, it is essential that the distribution network can autonomously adjust its topology structure to satisfy the power supply requirements. Therefore, how to reconstruct the distribution network is crucial for the development ...
- ArticleJuly 2024
SecMonS: A Security Monitoring Framework for IEC 61850 Substations Based on Configuration Files and Logs
Detection of Intrusions and Malware, and Vulnerability AssessmentPages 483–502https://doi.org/10.1007/978-3-031-64171-8_25AbstractSubstations are critical components of the smart grid since compromising them can lead to significant consequences, such as blackouts. Threat modeling aims to model different ways critical networks, such as substations, can be attacked. Attack ...
- research-articleAugust 2024
Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain
GECCO '24 Companion: Proceedings of the Genetic and Evolutionary Computation Conference CompanionPages 1738–1744https://doi.org/10.1145/3638530.3664135In the field of energy systems, the "WCCI(CEC)/GECCO 2024 Competition Evolutionary Computation in the Energy Domain: Optimal PV System Allocation" serves as a platform for evaluating and comparing various metaheuristic algorithms tailored to address ...
- research-articleAugust 2024
The Cryptographic Algorithm Identification: Using Deep Learning to Empower Smart Grids
MIDA '24: Proceedings of the 2024 International Conference on Machine Intelligence and Digital ApplicationsPages 280–285https://doi.org/10.1145/3662739.3663379The smart grid has now been fully implemented with a robust defense system that is built on the primary security principles of “security zoning, network specialization, horizontal isolation, and vertical authentication.” The secure cryptographic module ...
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- research-articleAugust 2024
A Switching Strategy Generation Scheme for Space-Air-Ground Smart Grid based on Improved Genetic Algorithm
MIDA '24: Proceedings of the 2024 International Conference on Machine Intelligence and Digital ApplicationsPages 275–279https://doi.org/10.1145/3662739.3662753The rapid increase in reliability, security, timeliness, and efficiency of power communication services puts forward higher requirements for the integrity of power grid fusion communication systems. The individual needs of different services make the ...
- research-articleMay 2024
Assessing Fairness of Residential Dynamic Pricing for Electricity using Active Learning with Agent-based Simulation
AAMAS '24: Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent SystemsPages 1827–1836Extreme weather events and fast-paced adoption of green energy technologies have led to new challenges in demand-side management, maintaining grid reliability, and fulfilling variable consumer demands One of the effective ways to address these ...
- research-articleMay 2024
Petri Nets for Smart Grids: The Story So Far
SAC '24: Proceedings of the 39th ACM/SIGAPP Symposium on Applied ComputingPages 661–670https://doi.org/10.1145/3605098.3635989Since the energy domain is in a transformative shift towards sustainability, the integration of new technologies and smart systems into traditional power grids has emerged. As an effective approach, Petri Nets (PN) have been applied to model and analyze ...
- research-articleNovember 2024
Deep learning-based power quality disturbance detection and classification in smart grid
International Journal of Sensor Networks (IJSNET), Volume 46, Issue 3Pages 161–175https://doi.org/10.1504/ijsnet.2024.142518This paper aims to enhance the detection of power quality disturbances (PQDs) in smart grid (SG) systems using four deep learning (DL) models: Vgg19, ResNet50, MobileNetV3-L, and ViT-H. We have developed a method to convert 1D PQD signals into 2D ...
- research-articleOctober 2024
Transient Stability Assessment Model With Sample Selection Method Based on Spatial Distribution
With the phasor measurement units (PMUs) being widely utilized in power systems, a large amount of data can be stored. If transient stability assessment (TSA) method based on the deep learning model is trained by this dataset, it requires high computation ...
- research-articleSeptember 2024
Machine learning and deep learning techniques for detecting and mitigating cyber threats in IoT-enabled smart grids: a comprehensive review
International Journal of Information and Computer Security (IJICS), Volume 24, Issue 3-4Pages 284–321https://doi.org/10.1504/ijics.2024.141601The confluence of the internet of things (IoT) with smart grids has ushered in a paradigm shift in energy management, promising unparalleled efficiency, economic robustness and unwavering reliability. However, this integrative evolution has concurrently ...
- research-articleNovember 2023
Towards Robust Misbehavior Detection in Power Control Systems: A Gradient Quantization Approach
ARTMAN '23: Proceedings of the 2023 Workshop on Recent Advances in Resilient and Trustworthy ML Systems in Autonomous NetworksPages 29–36https://doi.org/10.1145/3605772.3624005The decentralization of modern power grid systems in this new era of advanced communication and information technology to enhance efficacy and efficiency has created a new class of privacy challenges which requires innovative approaches. In recent times,...
- research-articleNovember 2023
Targeted Attack Synthesis for Smart Grid Vulnerability Analysis
CCS '23: Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications SecurityPages 2576–2590https://doi.org/10.1145/3576915.3623155Modern smart grids utilize advanced sensors and digital communication to manage the flow of electricity from generation source to consumption points. They also employ anomaly detection units and phasor measurement units (PMUs) for security and monitoring ...
- research-articleMarch 2024
Towards Feature Selection for Detecting LDDoS in SD-IoT of Smart Grids: A Multi-correlation Information EA-based Method
ISCAI '23: Proceedings of the 2023 2nd International Symposium on Computing and Artificial IntelligencePages 60–66https://doi.org/10.1145/3640771.3640786Abstract. Internet of Things (IoT) plays an important role in smart grids. Software-Defined Internet of Things (SD-IoT) employs the Software-Defined Networking (SDN) as the network architecture of IoT in smart grids. Hence, in smart grids, SD-IoT can ...
- research-articleOctober 2023
Machine Learning-based Multi-Class Traffic Management for Smart Grid Communication Network
UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable ComputingPages 694–699https://doi.org/10.1145/3594739.3612909Smart grid communication networks are facing the increasing challenge of heterogeneous facilities and diverse communication requirements. Traditional communication technologies without the ability to adapt cannot meet these requirements. A data-driven ...
- surveyJuly 2023
A Taxonomy of Cyber Defence Strategies Against False Data Attacks in Smart Grids
ACM Computing Surveys (CSUR), Volume 55, Issue 14sArticle No.: 331, Pages 1–37https://doi.org/10.1145/3592797The modern electric power grid, known as the Smart Grid, has fast transformed the isolated and centrally controlled power system to a fast and massively connected cyber-physical system that benefits from the revolutions happening in communications (such ...
- ArticleJuly 2023
Energy Community Integration of a Smart Home Based on an Open Source Multiagent System
Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS CollectionPages 415–421https://doi.org/10.1007/978-3-031-37616-0_35AbstractSmart grid is a revolutionary concept that came to renew the way the power systems are thought. However, for these systems to be possible it is necessary and recommended that the consumers have the right technology integrated in their houses, in ...
- posterMay 2023
A Novel Aggregation Framework for the Efficient Integration of Distributed Energy Resources in the Smart Grid
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent SystemsPages 2514–2516In this paper, we put forward a novel DER aggregation framework, encompassing a multiagent architecture and various types of mechanisms for the effective management and efficient integration of DERs in the Grid. One critical component of our architecture ...
- research-articleJuly 2023
Cross-layer Bandwidth and Antenna Configuration for Smart Grid under MIMO Transmission
CNIOT '23: Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of ThingsPages 770–775https://doi.org/10.1145/3603781.3603918This paper studies the statistical observability of the power grid with multiple-input multiple-output (MIMO) transmission while satisfying the QoS requirement, which is characterized by effective capacity. The problem is to maximize the observability ...
- research-articleJuly 2023
Statistical Power Grid Observability under QoS Constraints with Fixed-Rate Wireless Transmissions
CNIOT '23: Proceedings of the 2023 4th International Conference on Computing, Networks and Internet of ThingsPages 366–374https://doi.org/10.1145/3603781.3603846This paper studies the observability of the power grid with wireless fading channels under statistical QoS requirement, which is characterized by effective capacity targeting the strict latency constraints of Phasor Measurement Units (PMUs). We ...