Energy Storage Controllers and Optimization Schemes Integration to Microgrid: An Analytical Assessment Towards Future Perspectives

Miah, Md. Sazal; Lipu, Molla Shahadat Hossain; Ansari, Shaheer; Meraj, Sheikh Tanzim; Hasan, Kamrul; Masaoud, Ammar; Hussain, Aini; Mahmud, Md. Sultan; Bashar, Shikder Shafiul

doi:10.1109/access.2022.3174123

Cited by 9 publications

(2 citation statements)

References 167 publications

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“…To be noted, Mendeley has been used as a citation software manager. Figure 1 illustrates the article’s inclusion and exclusion process for this review based on Prisma guidelines ( Abdolrasol et al, 2021 ; Miah et al, 2022 ).…”

Section: Survey Methodologymentioning

confidence: 99%

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis

Zamani

Zaki

Hamid

et al. 2022

PeerJ

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Background and Aims A microscopic image has been used in cell analysis for cell type identification and classification, cell counting and cell size measurement. Most previous research works are tedious, including detailed understanding and time-consuming. The scientists and researchers are seeking modern and automatic cell analysis approaches in line with the current in-demand technology. Objectives This article provides a brief overview of a general cell and specific stem cell analysis approaches from the history of cell discovery up to the state-of-the-art approaches. Methodology A content description of the literature study has been surveyed from specific manuscript databases using three review methods: manuscript identification, screening, and inclusion. This review methodology is based on Prism guidelines in searching for originality and novelty in studies concerning cell analysis. Results By analysing generic cell and specific stem cell analysis approaches, current technology offers tremendous potential in assisting medical experts in performing cell analysis using a method that is less laborious, cost-effective, and reduces error rates. Conclusion This review uncovers potential research gaps concerning generic cell and specific stem cell analysis. Thus, it could be a reference for developing automated cells analysis approaches using current technology such as artificial intelligence and deep learning.

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Section: Survey Methodologymentioning

confidence: 99%

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis

Zamani

Zaki

Hamid

et al. 2022

PeerJ

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“…The estimation accuracy of data-driven models such as ANN depends on the suitable selection of model hyperparameters. The appropriate value of hyperparameters would result in satisfactory results and a low computational burden, but inappropriate selection of model hyperparameters would lead to inaccurate results and a high computational burden [85]. As a common practice, the model utilizes the 'trial and error' technique to select suitable hyperparameters.…”

mentioning

confidence: 99%

SOC, SOH and RUL Estimation for Supercapacitor Management System: Methods, Implementation Factors, Limitations and Future Research Improvements

et al. 2022

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The development of a supercapacitor management system (SMS) for clean energy applications is crucial to addressing carbon emissions problems. Consequently, state of charge (SOC), state of health (SOH), and remaining useful life (RUL) for SMS must be developed to evaluate supercapacitor robustness and reliability for mitigating supercapacitor issues related to safety and economic loss. State estimation of SMS results in safe operation and eliminates undesirable event occurrences and malfunctions. However, state estimations of SMS are challenging and tedious, as SMS is subject to various internal and external factors such as internal degradation mechanism and environmental factors. This review presents a comprehensive discussion and analysis of model-based and data-driven-based techniques for SOC, SOH, and RUL estimations of SMS concerning outcomes, advantages, disadvantages, and research gaps. The work also investigates various key implementation factors such as a supercapacitor test bench platform, experiments, a supercapacitor cell, data pre-processing, data size, model operation, functions, hyperparameter adjustments, and computational capability. Several key limitations, challenges, and issues regarding SOC, SOH, and RUL estimations are outlined. Lastly, effective suggestions are outlined for future research improvements towards delivering accurate and effective SOC, SOH, and RUL estimations of SMS. Critical analysis and discussion would be useful for developing accurate SMS technology for state estimation of a supercapacitor with clean energy and high reliability, and will provide significant contributions towards reducing greenhouse gas (GHG) to achieve global collaboration and sustainable development goals (SDGs).

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Optimal operation of battery storage systems in standalone and grid-connected DC microgrids using parallel metaheuristic optimization algorithms

Grisales-Noreña¹,

Ocampo-Toro²,

Montoya³

et al. 2023

Journal of Energy Storage

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Energy Storage Controllers and Optimization Schemes Integration to Microgrid: An Analytical Assessment Towards Future Perspectives

Cited by 9 publications

References 167 publications

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis

Future stem cell analysis: progress and challenges towards state-of-the art approaches in automated cells analysis

SOC, SOH and RUL Estimation for Supercapacitor Management System: Methods, Implementation Factors, Limitations and Future Research Improvements

Optimal operation of battery storage systems in standalone and grid-connected DC microgrids using parallel metaheuristic optimization algorithms

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