Results 121 to 130 of about 4,619,619 (241)
Modern power grids are increasingly challenged by the lack of inertia caused by the high penetration of renewable energy sources (RES). This low inertia leads to reduced frequency stability and greater vulnerability to disturbances. To address this issue, various virtual inertia (VI) provision strategies have been proposed to emulate inertial behaviour
Mina Valikhany +3 more
openaire +2 more sources
A Large Scale Multi‐Modal Workflow for Battery Characterization: From Concept to Implementation
Isolated characterization techniques produce independent datasets and single‐property insights. However, progressively more holistic interpretations of battery‐material behavior is needed in the future. Here we demonstrate a coordinated multimodal workflow enabling the correlation of heterogeneous datasets and the construction of multidimensional ...
François Cadiou +34 more
wiley +1 more source
Large‐Scale Machine Learning to Screen for Small‐Molecule Senolytics
A consistent workflow underpins all experiments in this study. A dedicated model‐selection dataset first identifies optimal hyperparameters for each algorithm. Models are then trained and rigorously evaluated on independent sets of molecules using the senolytic ratio SR. Comprehensive hyperparameter exploration across SMILES representations, task types,
Alexis Dougha +2 more
wiley +1 more source
Virtual Inertia Emulation to Improve Dynamic Frequency Stability of Low Inertia Microgrids [PDF]
Due to low inertia and the intermittent nature of photovoltaic systems, dynamic frequency stability issues arise in microgrids with large photovoltaic systems. This limits the maximum amount of photovoltaic systems that can be penetrated in the microgrid.
Shrestha, Dipesh
core +1 more source
A heavy cylinder hangs by a thin rope from a rigid frame. A second identical thin rope is attached to the bottom of the cylinder, and a short metal rod is attached to the bottom end of the lower rope, as shown in Figure 1.
core
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang +9 more
wiley +1 more source
The increasing penetration of renewable energy sources in Indonesia, particularly photovoltaic (PV) systems, into electric power grids has led to a reduction in system inertia, potentially compromising frequency stability during disturbances.
Juan C. Vasques +7 more
core +1 more source
Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
This review traces three decades of technological evolution in robot‐assisted fracture reduction systems, from early robotic concepts to clinically oriented platforms. Key advances in robotic architecture, navigation, path planning, interaction control, and surgical integration are summarized, while current translational challenges and future ...
Shaolong Kuang +5 more
wiley +1 more source
Consumption Inertia and Asymmetric Price Transmission [PDF]
We propose consumption inertia as a new explanation for asymmetric price transmission. Inertia in consumer demand enlarges retailers’ gains in gross profits from raising prices in response to higher wholesale prices and reduces gains from decreasing ...
Li, Xianghong, Xia, Tian
core

