ISSN: 2535-1451 (Online) 2535-1443 (Print) JCSIS Journal of Computer Science and Information Systems It provides an international forum for researchers
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Explore our collection of 61 published research papers
Harris Hawks Optimization Algorithm for Energy-Efficient Load Dispatch in Multi-Source Renewable Power Grids.
Energy-efficient load dispatch is a fundamental optimization problem in modern renewable power grids, particularly as power systems increasingly integrate multiple generation sources such as photovolt...
Stacked Autoencoder-Based Anomaly Detection for Predictive Maintenance of Wind Turbine Mechanical Components.
Wind turbines operate under highly variable environmental and mechanical conditions, including fluctuating wind speed, turbulence, temperature changes, cyclic loading, and continuous rotational stress...
Deep Q-Network Reinforcement Learning for Real-Time Energy Storage Scheduling in Wind-Solar Hybrid Systems.
Real-time energy storage scheduling is a critical requirement for the reliable and economic operation of wind–solar hybrid energy systems, particularly because photovoltaic and wind power genera...
Federated Machine Learning Framework for Distributed Energy Resource Management in Microgrids.
Distributed Energy Resource Management is a central challenge in modern microgrids, particularly as photovoltaic systems, wind turbines, battery energy storage systems, electric vehicles, controllable...
Artificial Neural Network Optimized by Grey Wolf Optimizer for Maximum Power Point Tracking in Solar PV Systems.
Maximum Power Point Tracking (MPPT) is a fundamental control function in solar photovoltaic (PV) systems, as it ensures that PV modules operate at their highest possible power output under varying env...
Transformer-Based Deep Learning Model for Short-Term and Long-Term Energy Demand Forecasting in Smart Cities.
Accurate energy demand forecasting is a critical requirement for efficient smart city management, sustainable urban planning, and reliable operation of modern power systems. As cities become increasin...
Multi-Objective Optimization of Hybrid Renewable Energy Systems Using Deep Reinforcement Learning and Genetic Algorithms.
Hybrid Renewable Energy Systems (HRESs) have emerged as an effective solution for improving energy reliability, reducing fossil-fuel dependence, and supporting the transition toward low-carbon power s...
Convolutional Neural Network-Based Fault Detection and Classification in Photovoltaic Systems Under Partial Shading Conditions.
Photovoltaic (PV) systems are increasingly deployed as a key renewable energy technology for sustainable electricity generation; however, their operational performance, reliability, and energy ...
Whale Optimization Algorithm-Enhanced LSTM for Accurate Wind Power Generation Forecasting in Offshore Farms.
Accurate wind power generation forecasting is a fundamental requirement for the reliable integration of offshore wind farms into modern power systems. Offshore wind energy offers high generation poten...
Deep Learning-Enabled Solar Irradiance Forecasting Using Spatiotemporal Attention Mechanisms for Smart Grid Management.
Solar irradiance forecasting is a critical component of modern renewable energy management, particularly as photovoltaic power generation becomes increasingly integrated into smart grids, microgrids, ...
Hybrid CNN-LSTM Architecture for Real-Time ECG Arrhythmia Classification and Early Warning in Wearable Devices.
Cardiac arrhythmias are among the most common and clinically significant cardiovascular abnormalities, ranging from benign rhythm disturbances to life-threatening events such as ventricular tachycardi...
Machine Learning-Driven Clinical Decision Support System for Antibiotic Resistance Pattern Identification.
Antibiotic resistance has become one of the most serious global threats to public health, leading to increased treatment failure, prolonged hospitalization, higher healthcare costs, and elevated morta...