The recent emergence of Internet-of-Things (IoT) technologies in mission-critical applications the maritime industry has led to introduction Internet-of-Ships (IoS) paradigm. IoS is a novel application domain IoT that refers network smart interconnected objects, which can be any physical device or infrastructure associated with ship, port, transportation itself, goal significantly boosting shipping toward improved safety, efficiency, and environmental sustainability. In this article, we...

In this paper, we address the problems of fraud and anomalies in Bitcoin network. These are common e-banking online transactions. However, as financial sector evolves, so do methods for anomalies. Moreover, blockchain technology is being introduced most secure method integrated into finance. along with these advanced technologies, many frauds also increasing every year. Therefore, propose a detection model based on machine learning blockchain. There two algorithms-XGboost random forest...

In this article, a fractional-order proportional-integral-differential (FOPID) controller and its modified structure, called MFOPID controller, are presented. To guarantee optimal system performance, the gains of proposed FOPID controllers well-tuned, employing Jellyfish Search Optimizer (JSO), novel highly effective bioinspired metaheuristic approach. The assessed in hybrid with two domains, where each domain contains conventional (gas, reheat, hydro) renewable generation sources (solar...

The smart grid plays a vital role in decreasing electricity cost through Demand Side Management (DSM). Smart homes, part of the grid, contribute greatly to minimizing consumption via scheduling home appliances. However, user waiting time increases due This problem is motivation find an optimal solution that could minimize and Peak Average Ratio (PAR) with minimum time. There are many studies on Home Energy (HEM) for minimization peak load reduction. none systems gave sufficient attention...

Automatic generation control (AGC) is primarily responsible for ensuring the smooth and efficient operation of an electric power system. The main goal AGC to keep operating frequency under prescribed limits maintain interchange at intended level. Therefore, system must be supplemented with modern intelligent techniques provide adequate supply. This paper provides a comprehensive overview various models in diverse configurations Initially, history explored basic multi-area interconnected...

Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose diseases like tumors, cancers, edemas, etc. Several critical retinal diabetic retinopathy (DR), hypertensive (HR), Macular degeneration, retinitis pigmentosa (RP) are mainly analyzed based on the observation of fundus images. The raw images inferior quality represent minor changes directly. To analyze in vasculature or apply advanced disease detection algorithms, image should be enhanced enough visibly present...

The slower than expected adoption rate of blockchain technology has highlighted that there are barriers due to the diversity its applications and users. To overcome this limitation take full advantage novel technology, researchers from academia as well industry dedicated find different solutions, where two or more blockchains can interact with each other. As a result, several interoperability solutions have presented themselves. investigate functionalities underlying mechanisms interoperable...

The interconnection of renewable energy systems, which are complex nonlinear often results in power fluctuations the line and high system frequency due to insufficient damping extreme dynamic loading situations. To solve this problem, load control ensures nominal operating orderly fluctuation grid by delivering high-quality electric consumers through efficient intelligent systems. introduce paper presents a novel technique Fractional Order Integral-Tilt Derivative with Filter (FOI-TDN)...

Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access information services, damage corporate brands. Attackers use application layer DDoS that are not easily detectable because impersonating authentic users. In this study, we address novel by analyzing the characteristics incoming packets, including size HTTP frame number Internet Protocol (IP) addresses sent, constant mappings ports, IP using...

Existing interconnected power systems (IPSs) are being overloaded by the expansion of industrial and residential sectors together with incorporation renewable energy sources, which cause serious fluctuations in frequency, voltage, tie-line power. The automatic voltage regulation (AVR) load frequency control (LFC) loops provide high quality to all consumers nominal deviation, ensuring stability security IPS these conditions. In this paper, a proportional integral derivative (PID) controller...

Cardiovascular Diseases (CVDs) have emerged as a significant physiological condition, being primary contributor to mortality. Timely and precise diagnosis of heart disease is crucial safeguard patients from additional harm. Recent studies show that the usage data driven approaches, such Deep Learning (DL) Machine (ML) techniques, in field medical science highly useful accurately diagnosing less time. However, statistical learning traditional ML approaches require feature engineering generate...

Diabetes is a metabolic disease caused by the body's failure to use insulin or break down meals correctly. Every year, an alarming number of new cases diabetes are recorded. A poor lifestyle and unfavorable environment two main causes diabetes. If it not treated at early stages, becomes lifelong further leads important organs such as kidneys, heart, eyes, so on. This danger can be decreased with timely precise identification. Deep Learning (DL) best method for illness prediction,...

ABSTRACT Integrating renewable energy sources into smart grids increases supply and demand management because are intermittent variable. To overcome this type of challenge, short‐term load forecasting (STLF) is essential for managing energy, demand‐side flexibility, the stability with integration. This paper presents a new model called BiGRU‐CNN to improve operation STLF in grids. The integrates bidirectional gated recurrent units (BiGRUs) temporal dependencies convolutional neural networks...

Demand side management (DSM) is one of the most challenging areas in smart grids, which provides multiple opportunities for residents to minimize electricity cost. In this work, we propose a DSM scheme expenses and peak average ratio (PAR) reduction using two well-known heuristic approaches: cuckoo search algorithm (CSA) strawberry (SA). our proposed scheme, home decides buy or sell from/to commercial grid minimizing costs PAR with earning maximization. It makes decision on basis prices,...

The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most the previous studies have used fixed or time-of-use (TOU) prices for sizing MGs, this work introduces real-time pricing (RTP) implementing a demand response (DR) program according to national grid Iran. In addition long-term MG, day-ahead operation MG is also analyzed get better understanding DR daily electricity dispatch. For purpose, four different days corresponding seasons are...

Based on energy demand, consumers can be broadly categorized into low (LECs) and high (HECs). HECs use heavy load appliances, e.g., electric heaters air conditioners, LECs do not appliances. Thus, demand more compared to LECs. The usage of consumption appliances by leads peak formation in various time intervals. Different pricing schemes, i.e., (ToU), real (RTP), inclined block rate (IBR), critical (CPP), have been proposed previously. In ToU, an tariff is divided three blocks, on-peak (high...

Frequency, voltage, and power flow between different control zones in an interconnected system are used to determine the standard quality of power. Therefore, voltage frequency IPS is vital importance maintaining real reactive balance under varying load conditions. In this paper, a dandelion optimizer (DO)-based proportional-integral-proportional-derivative (PI-PD) controller investigated for realistic multi-area, multi-source, with nonlinearities. The output responses DO-based PI-PD were...

Microgrid is a community-based power generation and distribution system that interconnects smart homes with renewable energy sources (RESs). efficiently economically generates for electricity consumers operates in both islanded grid-connected modes. In this study, we proposed optimization schemes reducing cost minimizing peak to average ratio (PAR) maximum user comfort (UC) home. We considered microgrid which consists of wind turbine photovoltaic (PV) panel. First, the problem was...