Techno-economic evaluation of a smart power management system based on wind turbine hybrid model using Homer tool: a case study. [PDF]
Sapkota K +4 more
europepmc +1 more source
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti +3 more
wiley +1 more source
Efficient energy management of a low-voltage AC microgrid with renewable and energy storage integration using nonlinear control. [PDF]
El Mezdi K +5 more
europepmc +1 more source
Fast‐Responding O2 Gas Sensor Based on Luminescent Europium Metal‐Organic Frameworks (MOF‐76)
Luminescent MOF‐76 materials based on Eu(III) and mixed Eu(III)/Y(III) show rapid and reversible changes in emission intensity in response to O2 with very short response times. The effect is based on triplet quenching of the linker ligands that act as photosensitizers. Average emission lifetimes of a few milliseconds turn out to be mostly unaffected by
Zhenyu Zhao +5 more
wiley +1 more source
Dynamic power management based on Model Predictive Control and PSO for hybrid microgrid. [PDF]
Veni SV +5 more
europepmc +1 more source
AI-enhanced multi-timescale optimization strategy for virtual power plants: Advancing losad forecasting and dynamic demand response integration. [PDF]
Xu G +5 more
europepmc +1 more source
Rising worldwide challenges to climate-induced extreme low-production events of photovoltaic and wind power. [PDF]
Wang Q +7 more
europepmc +1 more source
Prosumer Web City: a novel energy market framework for enabling dynamic bidding and scalable integration of distributed energy participants. [PDF]
Ali Y +4 more
europepmc +1 more source
Ocean renewable energy for equitable energy access in a Blue Economy. [PDF]
Cisneros-Montemayor AM +6 more
europepmc +1 more source
Improving wind power prediction with advanced temporal and frequency domain processing combined with error correction. [PDF]
Gao J, Sun Y, Kim H, Kim C, Jung H.
europepmc +1 more source

