Results 111 to 120 of about 942,558 (261)

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

open access: yesAdvanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu   +3 more
wiley   +1 more source

State Estimation in Smart Power Grids

open access: yes, 2012
In this chapter, the role of State Estimation (SE) in smart power grids is presented. The trend of SE error with respect to the increasing of the smart grids implementation investigated.
Ali Arefi   +5 more
core   +1 more source

Monolayer MoS2 With Ultrahigh Piezoelectricity: From ALD Dose Control to Device Performance

open access: yesAdvanced Science, EarlyView.
This study demonstrates that controlling precursor dosages in atomic layer deposition (ALD) serves to regulate ultrathin oxide quality, which in turn determines sulfurization behavior and MoS2 monolayer continuity. The resulting continuous, low‐defect monolayers enable improved piezoelectric performance and support a flexible slippage sensor, linking ...
Yun Li   +16 more
wiley   +1 more source

Establishing sustainable and reliable smart grids

open access: yes, 2013
This paper addresses challenges part of the shift of paradigm taking place in the way we produce, transmit and use power related to what is known as smart grids.
Dursun, Bjørn Gitle Hauge   +8 more
core   +1 more source

Programmable Sequential 4D Actuation in Multistable Kirigami Metamaterials

open access: yesAdvanced Science, EarlyView.
This study presents a modular kirigami metamaterial framework enabling programmable multistability and sequential 4D actuation. By coupling geometry‐controlled multistability with material‐dependent recovery kinetics, spatiotemporal deformation can be precisely programmed.
Eui‐Hyun Kim   +3 more
wiley   +1 more source

Data‐driven predictive control of perturbed buck converters using a modified iterative feedback tuning algorithm

open access: yesIET Power Electronics
The most challenging aspect of utilizing model predictive controllers (MPCs), particularly those involving power electronic applications, is the extraction of a model that accurately represents the behavior of the studied system.
Kamran Moradi   +2 more
doaj   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

open access: yesAdvanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu   +8 more
wiley   +1 more source

Graph-Based Framework with Waveform-Informed Connectivity for Multi-Label Partial Discharge Source-Type Classification

open access: yesSensors
Partial discharge (PD) source-type classification is essential for condition-based maintenance of high-voltage apparatus. Existing approaches based on grid discretizations of phase-resolved partial discharge (PRPD) patterns suffer from performance ...
Leandro José Duarte   +6 more
doaj   +1 more source

Intelligent Programmable Membrane Nanosponge for Early Virus Blocking

open access: yesAdvanced Science, EarlyView.
A smart programmable nanosponge (ACNPs) displays high‐density viral receptors on its membrane and encapsulates fusion inhibitors to capture virions at the infection source through competitive binding and blocks their entry through protease inhibition for ultra‐early cascade interception. This modular, mucus‐penetrating platform shifts antiviral defence
Ze Chen   +17 more
wiley   +1 more source

Machine Learning and Artificial Intelligence Techniques in Smart Grids Stability Analysis: A Review

open access: yes
The incorporation of renewable energy sources in power grids has necessitated innovative solutions for effective energy management. Smart grids have emerged as transformative systems which integrate consumer, generator and dual-role entities to deliver ...
Arman Fathollahi
core   +1 more source

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