[HTML][HTML] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review

AHA AL-Jumaili, RC Muniyandi, MK Hasan, MJ Singh… - Energy Reports, 2023 - Elsevier
A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …

A conceptual and systematics for intelligent power management system-based cloud computing: Prospects, and challenges

AHA AL-Jumaili, YIA Mashhadany, R Sulaiman… - Applied Sciences, 2021 - mdpi.com
This review describes a cloud-based intelligent power management system that uses
analytics as a control signal and processes balance achievement pointer, and describes …

Digital technology implementation in battery-management systems for sustainable energy storage: Review, challenges, and recommendations

G Krishna, R Singh, A Gehlot, SV Akram, N Priyadarshi… - Electronics, 2022 - mdpi.com
Energy storage systems (ESS) are among the fastest-growing electrical power system due to
the changing worldwide geography for electrical distribution and use. Traditionally, methods …

Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

MSH Lipu, MA Hannan, TF Karim, A Hussain… - Journal of Cleaner …, 2021 - Elsevier
Globally, the research on battery technology in electric vehicle applications is advancing
tremendously to address the carbon emissions and global warming issues. The …

Cloud-based artificial intelligence framework for battery management system

D Shi, J Zhao, C Eze, Z Wang, J Wang, Y Lian… - Energies, 2023 - mdpi.com
As the popularity of electric vehicles (EVs) and smart grids continues to rise, so does the
demand for batteries. Within the landscape of battery-powered energy storage systems, the …

Selection of battery technology to support grid-integrated renewable electricity

J Leadbetter, LG Swan - Journal of Power Sources, 2012 - Elsevier
Operation of the electricity grid has traditionally been done using slow responding base and
intermediate load generators with fast responding peak load generators to capture the …

[HTML][HTML] Implementation for a cloud battery management system based on the CHAIN framework

S Yang, Z Zhang, R Cao, M Wang, H Cheng, L Zhang… - Energy and AI, 2021 - Elsevier
An intelligent battery management system is a crucial enabler for energy storage systems
with high power output, increased safety and long lifetimes. With recent developments in …

A review of hybrid renewable energy systems: architectures, battery systems, and optimization techniques

JC León Gómez, SE De León Aldaco… - Eng, 2023 - mdpi.com
This paper aims to perform a literature review and statistical analysis based on data
extracted from 38 articles published between 2018 and 2023 that address hybrid renewable …

A multi-objective predictive energy management strategy for residential grid-connected PV-battery hybrid systems based on machine learning technique

K Shivam, JC Tzou, SC Wu - Energy Conversion and Management, 2021 - Elsevier
This paper proposes a multi-objective predictive energy management strategy based on
machine learning technique for residential grid-connected hybrid energy systems. The …

An optimization based power usage scheduling strategy using photovoltaic-battery system for demand-side management in smart grid

S Ali, I Khan, S Jan, G Hafeez - Energies, 2021 - mdpi.com
Due to rapid population growth, technology, and economic development, electricity demand
is rising, causing a gap between energy production and demand. With the emergence of the …