Results 141 to 150 of about 2,798 (269)
Adaptive control of DC-DC power converter: design and experimental investigation with constant power load. [PDF]
Nizami TK +6 more
europepmc +1 more source
This study proposes a method to increase the value of solar power in balancing markets by managing prediction errors. The approach models prediction uncertainties and quantifies reserve requirements based on a probabilistic model. This enables the more reliable participation of photovoltaic plants in balancing markets across multiple sites, especially ...
Jindan Cui +3 more
wiley +1 more source
A novel high-gain isolated quasi Z-source DC-DC converter with self-balancing bipolar outputs. [PDF]
Heidarbozorg S, Radmanesh H.
europepmc +1 more source
Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Fault Ride-Through Optimization Scheme for Hybrid AC/DC Transmission Systems on the Same Tower. [PDF]
Chu X, Liu Q, Fu L, Yu S, Wang W.
europepmc +1 more source
Cadmium and Zinc‐Doped p‐type Sb2Se3 Single Crystals and Solar Cells
Cd and Zn were assessed as candidate p‐type dopants in Sb2Se3 single crystals in concentrations between 1016‐1020 cm−3. Both are effective in inducing p‐type conductivity, however Cd doped crystals exhibit lower resistivity across a wider range of dopant levels.
Thomas P. Shalvey +13 more
wiley +1 more source
Cost-effective and versatile Hardware-in-the-Loop system for DC/DC converter emulation in education and research. [PDF]
Gaviria-Cano A +5 more
europepmc +1 more source
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki +3 more
wiley +1 more source
Artificial neural network based hierarchical intelligent control framework for a residential microgrid. [PDF]
Bahabri MO, Ramdas SK, Banawi HA.
europepmc +1 more source
A machine learning‐guided self‐driving laboratory screened over 500 nickel‐based layered double‐hydroxide catalysts for alkaline oxygen evolution. Out of the eight metals, the robot uncovered a quaternary Ni–Fe–Cr–Co catalysts requiring only 231 mV overpotential to reach 20 mA cm−2.
Nis Fisker‐Bødker +3 more
wiley +1 more source

