Browse Articles

Insulator detection in transmission line based on Log AdaBoost

VeTrack leverages transformer-based appearance modeling and confidence-guided multi-level association for robust multi-vehicle tracking

The effects of apocynin on ciprofloxacin-induced oxidative stress-related cardiotoxicity

Dynamic optimization of shared storage for renewable driven grids with insights from Egypt

Abstract This paper presents an adaptive Shared Energy Storage (SES) framework tailored to Egypt’s renewable energy landscape. The proposed approach integrates dynamic SES partitioning, Nash bargaining–based cooperation, and a distributed ADMM optimization algorithm to support flexible, real-time leasing of centralized SES units by multiple renewable producers. Unlike conventional fixed-allocation or fully cooperative models, the framework adjusts storage access in response to grid demand, market prices, and forecast variations. Simulation results indicate that the adaptive SES framework can increase storage utilization by more than 40% compared with fixed allocation, while maintaining economic viability under forecast uncertainty and battery degradation. Under $$\pm 10\%$$ prediction errors or reduced round-trip efficiency, the system continues to provide stable operation and balanced economic outcomes. The Nash bargaining mechanism facilitates equitable benefit sharing between producers and the SES operator, and the distributed ADMM algorithm enables scalable, near–real-time coordination. By coupling cooperative game theory with adaptive control, this study introduces a market-aware SES model that can enhance renewable integration, support grid reliability, and improve economic resilience in emerging energy systems. The framework aligns with Egypt’s Vision 2035 priorities and offers insights for policymakers and grid operators considering SES deployment at scale.

Attention based deep feature fusion for hyperspectral target detection

Enhancing smart energy load management in industrial steel production using the fermatean fuzzy FUCA multi-criteria analysis

Design and biological evaluation of novel water-soluble complexes based on thiosemicarbazone as prospective anticancer agents

A structural model of perceived physical literacy of educational/sports college students based on PPLI

Metformin does not attenuate angiotensin II-induced aortic aneurysms in low-density lipoprotein receptor deficient mice

Pore scale insights into salinity driven foam stability and conformance control in heterogeneous porous media

Virtual reality based quantitative evaluation of the effect of orbitotomy on frontal lobe retraction during tuberculum sellae meningioma surgery

Comparative analysis of solar still with and without use of coating of waste toner powder on absorber plate and hyperbolic fins

Abstract Solar stills are considered to be a simple apparatus used to convert saline water into potable water by the application of solar energy. Because of its low distillate yield, it is not used for industrial or domestic applications of potable water. This study introduces a modified solar still (MSS) that integrates a toner waste powder (TWP) nanocoating with composite hyperbolic fins, tested under the climatic conditions of Palanpur, Gujarat, India. Both fully and partially submerged fins were examined, and a partially submerged design showed superior thermal performance. Compared to the conventional solar still (CSS), the MSS achieved ~ 4 °C higher basin water temperature, yielding 45.84% more freshwater (0.999 L vs. 0.685 L per 0.25 m 2 ), energy and exergy efficiencies increased by 45.6% and 72%, respectively. Despite 36% higher manufacturing costs, unit water cost decreased (0.0148 vs. 0.0158 USD/L), while payback time was shortened (3.76 vs. 4.02 months). These findings demonstrate that hyperbolic fins integrated with waste-derived nanocoating are a cost-effective and sustainable alternative to conventional nanomaterials for solar desalination.

Deep learning framework using UAV imagery for multi-disease detection in cereal crops

Electro-organic polymerization of aniline derivative on carbon-based electrode and its pH sensing in food samples

Early prediction of alopecia areata using machine learning modeling of neuro stress immune signatures from multi datasets

AAD-2004 through clearing H2O2 reduces astrocyte proliferation and promotes neural regeneration after spinal cord injury

The impact of patient’s height-adjusted biliopancreatic limb length on short-term outcomes in one-anastomosis gastric bypass

Spatio-temporal land-use dynamics and landscape ecological risk assessment in an artificial oasis, Northwestern China

Research on pedestrian recognition in complex scenarios based on data augmentation using large language models

Steerable terahertz beams using surface waves on an active metasurface