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Degradation-Aware Optimization of Second-Life Battery Energy Storage System
IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society
Year: 2024 | Conference Paper |
Many Electrical Vehicle (EV) batteries are expected to be retired in the next 5-10 years. These batteries are retired when no longer suitable for energy-intensive EV operations despite having 70–80% capacity left. Second-life use of these battery packs has the potential to address the increasing demand for battery energy storage systems (BESS) in the grid and to create a robust circular economy fo...Show More
Fast Accurate Phasor Estimation in Less than One Cycle using Neural Networks
Sina Mohammadi;Rouzbeh Haghighi;Ali Hassan;Van-Hai Bui;Mengqi Wang;Wencong Su
2024 IEEE 18th International Conference on Control & Automation (ICCA)
Year: 2024 | Conference Paper |
Estimation of phasors holds significant importance within power system protection applications. Due to the inher-ent inductive characteristics of electric power systems, fault currents often exhibit transient oscillations, such as decaying DC offset (DDC), higher-order harmonics, and noise. Fourier analysis stands out as a widely adopted technique for phasor estimation calculations. Nevertheless, ...Show More
Enterprise Application Outage Prediction Using XGBoost and LSTM
2023 19th International Conference on Network and Service Management (CNSM)
Year: 2023 | Conference Paper |
A large percentage of the global GDP is dependent on the Internet servicing millions of applications, therefore monitoring the health of these applications is critical to businesses around the world. To this date, majority of the mechanisms to support applications have all been reactive in nature; that is, reacting when an application goes down and the business has suffered financial loss. The use...Show More
SDG-11.6.2 Indicator and Predictions of PM2.5 using LSTM Neural Network
2023 1st International Conference on Advanced Innovations in Smart Cities (ICAISC)
Year: 2023 | Conference Paper |
Cited by: Papers (1)
Smart cities can immensely benefit from the applications of Artificial Intelligence. These cities are highly attractive by their rich pull factors like the provision of facilities for safe and sustainable living. Sustainable Development Goals (SDGs) by the United Nations are the blueprint to improve the standards of sustainable living in all countries. The impact and achievement of SDGs are regula...Show More
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