Results 81 to 90 of about 5,807 (218)

TRSWA-BP Neural Network for Dynamic Wind Power Forecasting Based on Entropy Evaluation. [PDF]

Entropy (Basel), 2018
Wang S, Zhao X, Li M, Wang H.
europepmc   +1 more source

Cryo‐EM of Rationally Designed Photosystem I Nanoassembly on Graphene Validates Orientation‐Driven Enhancement of Photocatalytic Performance

Advanced Functional Materials, EarlyView.
The first cryo‐EM visualization and quantification of oriented Photosystem I (PSI) on single‐layer graphene is reported. Domain‐specific covalent anchoring of PSI, with the reducing side of the biophotocatalyst toward graphene, promotes three‐fold higher anodic photocurrent generation compared to a randomly physisorbed counterpart. This approach allows
Miriam Izzo, Margot Jacquet, Tomasz Góral, Marcin Strawski, Takayuki Fujiwara, Shin‐ya Miyagishima, Joanna Kargul   +6 more
wiley   +1 more source

Enhanced wind power forecasting using machine learning, deep learning models and ensemble integration. [PDF]

Sci Rep
Rajaperumal TA, Christopher Columbus C.
europepmc   +1 more source

Mechanical Properties of Architected Polymer Lattice Materials: A Comparative Study of Additive Manufacturing and CAD Using FEM and µ‐CT

Advanced Functional Materials, EarlyView.
This study examines how pore shape and manufacturing‐induced deviations affect the mechanical properties of 3D‐printed lattice materials with constant porosity. Combining µ‐CT analysis, FEM, and compression testing, the authors show that structural imperfections reduce stiffness and strength, while bulk material inhomogeneities probably enhance ...
Oliver Walker, Thierry Roland, Damien Favier, Antoine Egele, Michael Heymann, Cosima Stubenrauch   +5 more
wiley   +1 more source

Portability of short term wind power forecasting: investigating model calibration using wind power data from Ireland and UK. [PDF]

Sci Rep
Deignan C, Sopeña JMG, Ghosh B, Pakrashi V.   +3 more
europepmc   +1 more source

Wind power forecasting : physical modelling

, 2019
With the stochastic nature of wind power and the increased penetration of wind power in the energy system, new challenges become eminent. For the Transmission System Operators (TSOs), the increased penetration of wind power in the energy system makes the task of balancing the energy system more demanding.
openaire   +1 more source

MOFs and COFs in Electronics: Bridging the Gap between Intrinsic Properties and Measured Performance

Advanced Functional Materials, EarlyView.
Metal‐organic frameworks (MOFs) and covalent organic frameworks (COFs) hold promise for advanced electronics. However, discrepancies in reported electrical conductivities highlight the importance of measurement methodologies. This review explores intrinsic charge transport mechanisms and extrinsic factors influencing performance, and critically ...
Jonas F. Pöhls, R. Thomas Weitz
wiley   +1 more source

Adaptive Differentiated Parrot Optimization: A Multi-Strategy Enhanced Algorithm for Global Optimization with Wind Power Forecasting Applications. [PDF]

Biomimetics (Basel)
Lin G, Abdel-Salam M, Hu G, Jia H.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
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, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism. [PDF]

Sensors (Basel)
Song W, Zuo E, Zhu J, Chen C, Chen C, Yan Z, Lv X.   +6 more
europepmc   +1 more source