Results 111 to 120 of about 11,726,497 (304)
For the virtual power plants containing energy storage power stations and photovoltaic and wind power, the output of PV and wind power is uncertain and virtual power plants must consider this uncertainty when they participate in the auction in the ...
Zhongfu Tan, Qingkun Tan, Yuwei Wang
doaj +1 more source
Customizable Piezo‐Transmittance‐Based Multiaxial Force Sensor With Deep‐Learning‐Assisted Sensing
Development of a soft tri‐axis piezo‐transmittance sensor with integrated LEDs and photodiodes enables multidirectional force sensing through deformation‐induced optical modulation. A tailored 1D convolutional neural network provides real‐time force direction and intensity prediction, achieving 99.6% classification accuracy and a mean squared error of ...
Filippo Peruzzi +6 more
wiley +1 more source
An All‐Fabric Wearable System for Human‐Machine Interaction
An all‐fabric sensing system enables wearable human–machine interaction through a breathable, stretchable, and scalable design. The all‐fabric capacitive sensor achieves a gauge factor of 2.03 over 72% strain and supports body‐motion tracking, 90.5% hand gesture recognition, and real‐time prosthetic hand control, demonstrating a promising pathway ...
Rayane Tchantchane +3 more
wiley +1 more source
Virtual Power Plant for Smart Grid Ready Buildings and Customers [PDF]
This report contains a summary of results from the ForskEL project: Virtual Power Plant for Smart Grid Ready Buildings and ...
Rotger-Griful, Sergi +1 more
core
Scalable Task Planning via Large Language Models and Structured World Representations
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari +4 more
wiley +1 more source
In recent years, with the large-scale integration of clean energy such as photovoltaic and wind power, the power grid is under growing stress from the demand of the system's frequency regulation.
Ying ZHANG +4 more
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source

