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Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis techniques to prevent undesired interruptions and...
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An improved H infinity controller using hybrid optimization for PV integrated MMC-HVDC system
Generally, circulating current is generated in a Modular Multilevel Converter (MMC) by fluctuations in the capacitor voltage of sub-modules....
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Accessible decision support for sustainable energy systems in develo** countries
With rising electricity demand through digitization and innovation, the urgency of climate change mitigation, and the recent geopolitical crisis,...
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Recursive filtering of multi-rate cyber-physical systems with unknown inputs under adaptive event-triggered mechanisms
Cyber-physical systems (CPSs) take on the characteristics of both multiple rates of information collection and processing and the dependency on...
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Dynamic Data Driven Partitioning of Smart Grid for Improving Power Efficiency by Combinining K-Means and Fuzzy Methods
A plethora of energy management opportunities has emerged for electricity consumers and producers by way of the transition from the current grid...
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Quality of service improvement in fiber-wireless networks using a fuzzy-based nature-inspired algorithm
Fiber-Wireless (Fi-Wi) networks attract interest as a dependable communication backbone in several additional applications. The cheap cost,...
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Distributed Multi-Agent Hierarchy Construction for Dynamic DCOPs in Mobile Sensor Teams
Coordinating multiple agents to optimize an objective has several real-world applications. In areas such as disaster rescue, environment monitoring...
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Day-Ahead Scheduling of PV Consumption in Distribution Networks Based on Demand Response of Multiple Types of Customer-Side Loads
The crisis of energy depletion is a common problem faced by countries around the world, and renewable energy is gradually gaining popularity among...
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Analysis of Multi Criteria Decision Making (MCDM) Techniques for Load Shedding in Islanded Distributed System
The modelling of a load shedding scheme in the islanded IEEE 33 bus system utilizing AHP and TOPSIS with voltage stability index and load value...
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Review on R&D task integrated management of intelligent manufacturing equipment
With the rapid development of various types of industrial big data technologies, in the context of industrial big data and systems science,...
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Dispersed Generations (DG) for Improvement of Power Performance Using UPQC Based on a Machine Learning
DGs Dispersed Generations the grid via certain power electronics grid-tie inverters or working in isolated (micro grid) mode towards the creation of...
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Event-triggered distributed optimization for model-free multi-agent systems
In this paper, the distributed optimization problem is investigated for a class of general nonlinear model-free multi-agent systems. The dynamical...
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Understanding Cybersecurity Challenges and Detection Algorithms for False Data Injection Attacks in Smart Grids
In Smart grid (SG), cyber-physical attacks (CPA) are the most critical hurdles to the use and development. False data injection attack (FDIA) is a...
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Future Digital Twin in Infrastructure Management
In this chapter, “Future Digital Twin in Infrastructure Management,” discusses the advancements and potential future developments of digital twin...
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A Three-Stage Cooperative Market Mechanism for Resilient Power Systems
The problem of power system resilience in the face of natural disasters and terrorist attacks has been studied from the systems engineering...
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Forecasting Smart Grid Stability Using a Hybrid CNN Bi-LSTM Approach
The prediction of smart grid stability is paramount for identifying contributors to network instabilities, yet it remains a challenging endeavor. To...
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Technology and economics of electric vehicle power transfer: insights for the automotive industry
Battery-based electric vehicles (BEVs) in the United States (U.S.) set a new sales record in 2022, driven by technology, policy, environmental, and...
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Enhancing trust and privacy in distributed networks: a comprehensive survey on blockchain-based federated learning
While centralized servers pose a risk of being a single point of failure, decentralized approaches like blockchain offer a compelling solution by...
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Chaotic Quasi-Oppositional Moth Flame Optimization for Radial Distribution Network Reconfiguration with DG Allocation
This research aimed to reconfigure radial distribution networks in the presence of distributed generators (DGs) using the Chaotic Quasi-Oppositional...
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Energy management for multi-microgrid system based on model predictive control
To reduce the computation complexity of the optimization algorithm used in energy management of a multi-microgrid system, an energy optimization...