AIMC Topic: Electric Power Supplies

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Optimizing EV charging stations and power trading with deep learning and path optimization.

PloS one Jul 11, 2025
The rapid growth of electric vehicles (EVs) presents significant challenges for power grids, particularly in managing fluctuating demand and optimizing the placement of charging infrastructure. This study proposes an integrated framework combining de...
Electric Power Supplies Humans Algorithms Deep Learning Electricity
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Predictive hybrid model of a grid-connected photovoltaic system with DC-DC converters under extreme altitude conditions at 3800 meters above sea level.

PloS one May 19, 2025
This study aims to develop a predictive hybrid model for a grid-connected PV system with DC-DC optimizers, designed to operate in extreme altitude conditions at 3800 m above sea level. This approach seeks to address the "curse of dimensionality" by r...
Algorithms Models, Theoretical Altitude Electric Power Supplies Bayes Theorem Solar Energy
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Flexible hybrid self-powered piezo-triboelectric nanogenerator based on BTO-PVDF/PDMS nanocomposites for human machine interaction.

Scientific reports May 8, 2025
As flexible and wearable electronics play more and more important role in smart watches, smart glass and virtual reality, and the power supply to the wearable electronics have been revealed more attentions for long-term usage and continuous healthy m...
Electric Power Supplies Dimethylpolysiloxanes Robotics Nanocomposites Wearable Electronic Devices Polyvinyls Humans Equipment Design Nanotechnology Gestures
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Multi-Granularity Autoformer for long-term deterministic and probabilistic power load forecasting.

Neural networks : the official journal of the International Neural Network Society Apr 24, 2025
Long-term power load forecasting is critical for power system planning but is constrained by intricate temporal patterns. Transformer-based models emphasize modeling long- and short-term dependencies yet encounter limitations from complexity and para...
Neural Networks, Computer Forecasting Humans Electric Power Supplies Uncertainty Models, Statistical Probability
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Electric vehicle braking energy recovery control method integrating fuzzy control and improved firefly algorithm.

PloS one Mar 28, 2025
Braking energy recovery is crucial for improving the energy efficiency and extending the range of electric vehicles. If a large amount of braking energy is wasted, it will lead to problems such as reduced range and increased battery burden for electr...
Algorithms Models, Theoretical Fuzzy Logic Automobiles Electric Power Supplies Electricity Fireflies
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SmartAPM framework for adaptive power management in wearable devices using deep reinforcement learning.

Scientific reports Feb 26, 2025
Wearable devices face a significant challenge in balancing battery life with performance, often leading to frequent recharging and reduced user satisfaction. In this paper, we introduce the SmartAPM (Smart Adaptive Power Management) framework, a nove...
Deep Learning Wearable Electronic Devices Electric Power Supplies Reinforcement Machine Learning Humans Algorithms
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Fast fault diagnosis of smart grid equipment based on deep neural network model based on knowledge graph.

PloS one Feb 14, 2025
The smart grid is on the basis of physical grid, introducing all kinds of advanced communications technology and form a new type of power grid. It can not only meet the demand of users and realize the optimal allocation of resources, but also improve...
Electric Power Supplies Humans Neural Networks, Computer Algorithms Deep Learning
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Supercapacitor Materials Database Generated using Web Scrapping and Natural Language Processing.

Journal of molecular graphics & modelling Feb 13, 2025
Electrochemical energy storage plays a vital role in achieving environmental sustainability. Supercapacitors emerge as promising alternatives to batteries due to their high-power density and extended lifespan. Extensive scholarly research has been co...
Internet Electrodes Databases, Factual Natural Language Processing Electric Power Supplies Electric Capacitance
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AI-driven identification of a novel malate structure from recycled lithium-ion batteries.

Environmental research Dec 27, 2024
The integration of Artificial Intelligence (AI) into the discovery of new materials offers significant potential for advancing sustainable technologies. This paper presents a novel approach leveraging AI-driven methodologies to identify a new malate ...
Malates Recycling Electric Power Supplies Artificial Intelligence Lithium
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LSTM-based estimation of lithium-ion battery SOH using data characteristics and spatio-temporal attention.

PloS one Dec 26, 2024
As the primary power source for electric vehicles, the accurate estimation of the State of Health (SOH) of lithium-ion batteries is crucial for ensuring the reliable operation of the power system. Long Short-Term Memory (LSTM), a special type of recu...
Neural Networks, Computer Ions Spatio-Temporal Analysis Electric Power Supplies Lithium
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