Sustainable Energy Management System for AIoT Solutions Using Multivariate and Multi-step Battery State of Charge Forecasting

F Kashefinishabouri - 2023 - spectrum.library.concordia.ca
The convergence of Artificial Intelligence (AI) with Internet of Things (IoT) technologies, often
referred to as AIoT, is transforming aspects of modern life, such as smart cities. This …

Lstm-based multi-step soc forecasting of battery energy storage in grid ancillary services

Y Kim, D Choi - … and Computing Technologies for Smart Grids …, 2021 - ieeexplore.ieee.org
Battery energy storage (BES) participation in the grid ancillary services markets is increasing
rapidly in recent years. To facilitate optimal participation, the need for accurate BES state-of …

[HTML][HTML] CL-net: ConvLSTM-based hybrid architecture for batteries' state of health and power consumption forecasting

N Khan, IU Haq, FUM Ullah, SU Khan, MY Lee - Mathematics, 2021 - mdpi.com
Traditional power generating technologies rely on fossil fuels, which contribute to worldwide
environmental issues such as global warming and climate change. As a result, renewable …

A hybrid system for lithium-ion battery state-of-charge univariate forecasting

MCC Medina, JFL de Oliveira - 2021 IEEE 33rd International …, 2021 - ieeexplore.ieee.org
In a world where Lithium-ion batteries are in increasing demand, appropriate management
techniques have become more relevant than ever to be able to control possible hazards …

AMRIT-Alternative Machine Reasoning and Integrative Techniques for prognostics model of electric vehicles

R Denathayalan, M Venkateshkumar… - … on Electrical Energy …, 2023 - ieeexplore.ieee.org
This study investigates multiple control mechanisms of battery management systems on
identifying the state of charge (SOC) and state of health (SOH) using fuzzy logic, artificial …

Multi-forword-step state of charge prediction for real-world electric vehicles battery systems using a novel LSTM-GRU hybrid neural network

J Hong, F Liang, H Yang, C Zhang, X Zhang, H Zhang… - eTransportation, 2024 - Elsevier
Battery state-of-charge (SOC) is an evaluation metric for the electric vehicles' remaining
driving range and one of the main monitoring parameters for battery management systems …

Smart Energy: Artificial Intelligence (AI) in Charging and Battery Management Systems

A Mittal, L Dumka, KPS Kharka, M Soni… - 2024 5th International …, 2024 - ieeexplore.ieee.org
Recent years have witnessed the extensive use of AI in various sectors. The power sector is
not an exception to it From mobile phones to wearables and from home UPS to green …

Unified univariate-neural network models for lithium-ion battery state-of-charge forecasting using minimized akaike information criterion algorithm

A Khalid, AI Sarwat - Ieee Access, 2021 - ieeexplore.ieee.org
Lithium-Ion batteries require step-ahead information to apply contingency plans to prevent
them from operating beyond their safe operation thresholds in grid storage and electric …

Battery energy storage state-of-charge forecasting: Models, optimization, and accuracy

D Rosewater, S Ferreira, D Schoenwald… - … on Smart Grid, 2018 - ieeexplore.ieee.org
Battery energy storage systems (BESS) are a critical technology for integrating high
penetration renewable power on an intelligent electrical grid. As limited energy restricts the …

Data driven machine learning models for short‐term load forecasting considering electrical vehicle load

CS Gujjarlapudi, D Sarkar, SK Gunturi - Energy Storage, 2023 - Wiley Online Library
Electric vehicles (EVs) are gaining popularity due to their fuel efficiency and ability to reduce
greenhouse gas emissions. Significant penetration of EVs with unregulated charging, which …