[HTML][HTML] Application of nanogenerators in acoustics based on artificial intelligence and machine learning
X Yu, T Ai, K Wang - APL Materials, 2024 - pubs.aip.org
As artificial intelligence (AI) advances, it is critical to give conventional electronics the
capacity to “think,”“analyze,” and “advise.” The need for intelligent, self-powered devices has …
capacity to “think,”“analyze,” and “advise.” The need for intelligent, self-powered devices has …
[HTML][HTML] Application of triboelectric nanogenerator in self-powered motion detection devices: A review
H Jiang, X Lv, K Wang - APL Materials, 2024 - pubs.aip.org
Among today's bustling lifestyles, the demand for autonomous, durable, and low-
maintenance healthcare systems has surged, surpassing that of earlier periods …
maintenance healthcare systems has surged, surpassing that of earlier periods …
Energy management system based on economic Flexi-reliable operation for the smart distribution network including integrated energy system of hydrogen storage …
H Liang, S Pirouzi - Energy, 2024 - Elsevier
This paper presents the energy management of smart distribution network including
integrated system of hydrogen storage and renewable sources. Objective is to assess …
integrated system of hydrogen storage and renewable sources. Objective is to assess …
Prediction of health level of multiform lithium sulfur batteries based on incremental capacity analysis and an improved LSTM
H Zhang, H Sun, L Kang, Y Zhang… - … and Control of …, 2024 - ieeexplore.ieee.org
Capacity estimation plays a crucial role in battery management systems, and is essential for
ensuring the safety and reliability of lithium-sulfur (Li-S) batteries. This paper proposes a …
ensuring the safety and reliability of lithium-sulfur (Li-S) batteries. This paper proposes a …
A novel supercapacitor degradation prediction using a 1D convolutional neural network and improved informer model
H Zhang, Z Yi, L Kang, Y Zhang… - Protection and Control of …, 2024 - ieeexplore.ieee.org
Safety and reliability are crucial for the next-generation supercapacitors used in energy
storage systems, while accurate prediction of the degradation trajectory and remaining …
storage systems, while accurate prediction of the degradation trajectory and remaining …
Stackelberg-Nash asymmetric bargaining-based scheduling optimization and revenue-allocation for multi-operator regional integrated energy system considering …
J Lin, C Gao, J Zeng, F Han - Energy, 2024 - Elsevier
The integration of source-grid-load-storage greatly improves the energy managing flexibility
of regional integrated energy systems (RIES). Considering the conflicting interests of multi …
of regional integrated energy systems (RIES). Considering the conflicting interests of multi …
A novel two-stage multi-objective dispatch model for a distributed hybrid CCHP system considering source-load fluctuations mitigation
Y Zhou, J Wang, C Wei, Y Li - Energy, 2024 - Elsevier
Small-scale distributed energy systems with combined cooling, heating, and power (DES-
CCHP) production have attracted international interest. However, fluctuating loads and …
CCHP) production have attracted international interest. However, fluctuating loads and …
Capability of battery-based integrated renewable energy systems in the energy management and flexibility regulation of smart distribution networks considering …
RB Navesi, M Jadidoleslam… - Journal of Energy …, 2024 - Elsevier
The study investigated the economic operation of battery-powered integrated renewable
energy systems based on their concurrent participation in the energy and flexibility markets …
energy systems based on their concurrent participation in the energy and flexibility markets …
A method of dense point cloud SLAM based on improved YOLOV8 and fused with ORB-SLAM3 to cope with dynamic environments
With the development of society and the advancement of technology, intelligent robots have
been widely used in various fields. At the same time, Simultaneous Localization and …
been widely used in various fields. At the same time, Simultaneous Localization and …
Machine learning-assisted effective thermal management of rotor-stator systems
Rotor-stator systems are widely used to facilitate highly effective energy management and
process intensification but have complex design characteristics, such as skittish flow and …
process intensification but have complex design characteristics, such as skittish flow and …