The main and pivot part of electric companies is the load forecasting. Decision-makers think tank power sectors should forecast future need electricity with large accuracy small error to give uninterrupted free shedding consumers. demand can be forecasted amicably by many Machine Learning (ML), Deep (DL) Artificial Intelligence (AI) techniques among which hybrid methods are most popular. present technologies forecasting work regarding combination various ML, DL AI algorithms reviewed in this...

Recent advances in electronic devices and communication infrastructure have revolutionized the traditional healthcare system into a smart by using internet of medical things (IoMT) devices. However, due to centralized training approach artificial intelligence (AI), mobile wearable IoMT raise privacy issues concerning information communicated between hospitals end-users. The conveyed is highly confidential can be exposed adversaries. In this regard, federated learning (FL), distributive AI...

Metaverse is an evolving orchestrator of the next-generation Internet architecture that produces immersive and self-adapting virtual world in which humans perform activities similar to those real world, such as playing sports, doing work, socializing. It becoming a reality driven by ever-evolving advanced technologies extended reality, artificial intelligence, blockchain. In this context, will play essential role developing smart cities, becomes more evident post-COVID-19-pandemic...

Electricity is establishing ground as a means of energy, and its proportion will continue to rise in the next generations. Home energy usage expected increase by more than 40% 20 years. Therefore, compensate for demand requirements, proper planning strategies are needed improve home management systems (HEMs). One crucial aspects HEMS load forecasting scheduling utilization. Energy depend heavily on precise scheduling. Considering this scenario, article was divided into two parts. Firstly,...

Next-generation wireless communication and networking technologies, such as sixth-generation (6G) networks software-defined Internet of Things (SDIoT), make cyber-physical systems (CPSs) more vulnerable to cyberattacks. In massively connected CPSs, an intruder can trigger a cyberattack in the form false data injection, which lead system instability. To address this issue, we propose graphics-processing-unit-enabled adaptive robust state estimator. It comprises deep learning algorithm, long...

For optimal utilization of power generation resources, load forecasting plays a vital role in balancing the flow distribution network. There are several drawbacks associated with existing techniques for balancing. Neural network (NN) based unable to consider actual states system, while weighted least squares state estimation (WLS) fails counter nonlinearity demand profile. In this article, hybrid approach is proposed short term forecasting. The technique, comprised WLS, NN, and adaptive...

Due to an increasing of demands electricity in a world on regular basis, different continents will initiate step towards transforming their smart grids infrastructure into super (SSGs), which various countries continent take interconnection power system networks with one another manage futuristic conditions. The concept SSGs is predicated due extensive use modern technology, digital communication, machine learning and information techniques for the present generating be more accurate feature...

Security is an essential requirement in mobile ad hoc network (MANETs). Compared to wired networks, MANETs are more vulnerable security attacks due the lack of a trusted centralized authority and limited resources. Attacks on networks can be classified as passive active attacks, depending whether normal operation disrupted or not. In this paper, we describing all prominent described literature consistent manner provide concise comparison attack types. To best our knowledge, first paper that...

The rapid growth of electric vehicle (EV) penetration has led to more flexible and reliable vehicle-to-grid-enabled cyber-physical systems (V2G-CPSs). However, the increasing system complexity also makes them vulnerable threats. Coordinated cyber attacks (CCAs) have emerged as a major concern, requiring effective detection mitigation strategies within V2G-CPSs. Digital twin (DT) technologies shown promise in mitigating providing diverse functionalities for complex tasks such monitoring,...

For a utility company to reduce <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">CO</i> <sub xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> emissions along with managing load demands, it must strive for 100 percent renewable electrical power generation. Europe takes initiatives achieve this goal by developing super smart grid (SSG) based on energy resources (RERs) 2050. The SSG is two exclusive alternatives: wide area and decentralized...

The previously proposed algorithms for preventing cascading failures, which lead to a blackout event, involve specific load shedding schemes, introduce incurring losses in the power system network. In this paper, cooperative control based algorithm using vehicle grid (V2G) technology on fuzzy logic approach is prevent failures without loss incurrence. implemented standard IEEE-30 bus system, and it uses mathematical combinations heuristically identify critical nodes through use of...

Cascading overload failures occurred in power systems due to higher penetration of renewable energy resources (RERs), which causes uncertainty a grid. To overcome these cascading failures, proper assessment the form load flow balancing and transients stability is required integrated grids (RIPGs). This problem becomes more critical occurrence multiple intervals faults interconnected RIPGs, tripping several RERs. Due outages various transmission lines, lead system failures. tackle this...

Super smart grids (SSGs) are a wide area transmission network that mainly uses renewable energy resources (RERs), contributing to the reduction of greenhouse gas (GHGs) emissions and supporting power infrastructure multiple countries. The SSGs comprise two-way communication between loads sources different countries, these can be mostly served with numerous types RERs tied grids. will play pivotal role in development future generation electricity. However, main challenge tackle is they...

Uncertainties in demand profile and lower efficiency of renewable energy resources (RERs) make the load flow balancing (LFB) transient stability (TS) analysis a challenging task integrated power grids (RIPGs). This situation becomes more complex case, where three phase line to (L- L-L) fault with corresponding single or multiple intervals, arises system network. A interval three-phase (L-L-L) (SITPF) occurs when occurrence time is very less. vulnerable intervals (MITPF) if remained for...