Results 151 to 160 of about 23,095 (305)
Small‐signal modeling reveals that insufficient system damping positions conjugate poles near the imaginary axis, fundamentally explaining the SFR mechanism. A virtual resistance control is consequently proposed to damp the resonance and effectively suppress SFR, which is validated through Hardware‐in‐the‐Loop experiments.
Yujie Gu +3 more
wiley +1 more source
PV-Scope Test System: Photovoltaic Module Characterization with Maximum Power, Efficiency, and Environmental Sensing [PDF]
Christi K. Madsen, Bitian Jiang
openalex +1 more source
Using density functional theory (CASTEP, GGA–PBE), the structural, electronic, optical, and mechanical properties of YSeO₃X (X = F, Cl, Br, and I) compounds are systematically investigated. The materials have exhibited structural stability, tunable band gaps, strong optical absorption, anisotropic ductile behavior, and promising potential for ...
Nawishta Jabeen +5 more
wiley +1 more source
Design of a Hydroelectronic Solar‐Tracking System for Solar Panels
A prototype of a passive solar‐tracking system utilizing buoyant force based on water level was developed, and its MATLAB/Simulink model was implemented. This study is expected to encourage researchers to design solar‐tracking mechanisms using metals with different thermal expansion coefficients, air, oil, and other fluids. ABSTRACT This study presents
Ufuk Süğürtin, Türker Fedai Çavuş
wiley +1 more source
A deep reinforcement learning–based control architecture is proposed to coordinate heat pumps, thermal storage, renewable energy, and demand response in data center waste heat recovery systems. The agent learns optimal control actions from system states and reward feedback to achieve electrical–thermal co‐optimization under realistic operational ...
Rendong Shen +5 more
wiley +1 more source
Robust Control Using a Matrix Converter to Enhance Wind Turbine Systems
This study uses a more efficient and effective solution to improve the operational performance of a wind turbine‐based power system. This system uses a doubly fed induction generator and relies on a matrix converter and fractional‐order proportional–integral controller.
Sihem Ghoudelbourk +4 more
wiley +1 more source
A hybrid TimeGAN-xLSTM-Transformer framework for photovoltaic power forecasting under complex environmental conditions. [PDF]
Chu B +7 more
europepmc +1 more source
An AI‐driven CNN–LSTM forecasting framework is integrated with HOMER Pro to optimally design a grid‐connected PV–wind–BESS microgrid for a rural school in Bangladesh, achieving 91.7% renewable penetration, low energy cost (0.0397 USD/kWh), and an 81.5% reduction in CO2 emissions. ABSTRACT Hybrid renewable microgrid planning in HOMER Pro often relies on
Robiul Khan +5 more
wiley +1 more source

