Results 81 to 90 of about 1,609,322 (288)
Robust Unit Commitment Model Based on Optimal Uncertainty Set
This article proposes a robust unit commitment (RUC) model for multiple types of energy sources based on the optimal uncertainty set. These energy sources are wind farms, thermal, hydro, natural gas, nuclear, and pumped-storage hydro power plants.
Yongchao Wang +6 more
doaj +1 more source
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu +2 more
wiley +1 more source
Research on a New Maximum Power Tracking Algorithm for Photovoltaic Power Generation Systems
INTRODUCTION: Significant advances have been made in photovoltaic (PV) systems, resulting in the development of new Maximum Power Point Tracking (MPPT) methods.
Lei Shi +4 more
doaj +1 more source
Measurement of Symmetric Cipher on Low Power Devices for Power Grids [PDF]
The symmetric ciphers are often used in low power devices for its low requirements. This article provides a measurement of AES-128 cipher, which should be used for secure communication in power grid (smart grid) networks.
Fujdiak, R.
core
Laser‐Induced Graphene from Waste Almond Shells
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova +9 more
wiley +1 more source
Shellac, a centuries‐old natural resin, is reimagined as a green material for flexible electronics. When combined with silver nanowires, shellac films deliver transparency, conductivity, and stability against humidity. These results position shellac as a sustainable alternative to synthetic polymers for transparent conductors in next‐generation ...
Rahaf Nafez Hussein +4 more
wiley +1 more source
Accurate photovoltaic (PV) power forecasting serves as a critical foundation for economic dispatch and reliable grid operation. To address the inherent uncertainty in PV power generation, this study proposes a short-term PV power interval prediction ...
Yixuan Chen +3 more
doaj +1 more source
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio +8 more
wiley +1 more source
The use of intelligent inspection technologies for fault detection in transmission lines plays a key role in optimizing inspection accuracy by leveraging Unmanned Aerial Vehicles (UAVs) and carrier wave differential positioning.
Ruchao Liao +4 more
doaj +1 more source

