Results 121 to 130 of about 2,188 (203)

Next‐Generation Carbon‐Based Anodes for Alkali Metal‐Ion Batteries: Recent Progress on Biphenylene and Emerging Materials

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Recent advances in carbon‐based anodes for alkali metal‐ion batteries are critically reviewed, with emphasis on biphenylene and other emerging carbon allotropes. Biphenylene exhibits exceptional theoretical electrochemical properties beyond conventional graphite, highlighting its strong potential as a next‐generation anode material once scalable ...
Adewale Hammed Pasanaje, Nirpendra Singh
wiley   +1 more source

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

open access: yesEnergy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif   +5 more
wiley   +1 more source

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

open access: yesEnergy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor   +6 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

open access: yesEnergy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani   +4 more
wiley   +1 more source

PbS colloidal quantum dots imagers: From single devices to arrays, flexible platforms, and CMOS‐integrated systems

open access: yesFlexMat, EarlyView.
Abstract Imagers operating in the visible to near‐infrared (NIR) range play an important role in applications such as industrial sorting, security surveillance, and autonomous driving. However, conventional imaging technologies based on silicon and III–V semiconductors suffer from several limits, including restricted spectral range, high fabrication ...
Xin Hong   +4 more
wiley   +1 more source

Magneto‐responsive fibers and fabrics for soft systems

open access: yesFlexMat, EarlyView.
Abstract The combination of functional materials in fiber form has led to a surge in the integration of functional fibers and fabrics into soft systems that span sensing, communication, and actuation domains. A key subset is magnetic fibers and fabrics.
Hanlin Zhu   +8 more
wiley   +1 more source

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