Open Access
Issue |
E3S Web Conf.
Volume 564, 2024
International Conference on Power Generation and Renewable Energy Sources (ICPGRES-2024)
|
|
---|---|---|
Article Number | 07006 | |
Number of page(s) | 9 | |
Section | Signal Processing | |
DOI | https://doi.org/10.1051/e3sconf/202456407006 | |
Published online | 06 September 2024 |
- J. Ahn, H. Kim, C. Yoo. A smart street lighting system using wireless sensor networks for energy efficiency and public safety. In International Conference on Advanced Information Networking and Applications (AINA), 221-226, (2014) [Google Scholar]
- S. Chen, W. Wang, J. Wang, X.Li. A big data analysis framework for demand response in smart grid with hybrid renewable energy sources. IEEE Trans. Smart Grid,9, 4, 3073-3082, (2018) [Google Scholar]
- D. Dimitrov, L. Bernardo. A survey on energy-efficient lighting control strategies for smart buildings. Energy Build., 128, 257-276, (2016) [Google Scholar]
- J. Kahn, et al. Smart lighting: The missing link in a sustainable energy strategy. Electr. J., 19, 6, 60-72, (2006) [CrossRef] [Google Scholar]
- C. Liu, et al. Intelligent street lighting system using machine learning for energy saving. Sensors, 18, 1, 182, (2018) [CrossRef] [PubMed] [Google Scholar]
- S. AitAoudia, et al. Monitoring and diagnosis of underground structures using wireless sensor networks. In International Conference on Wireless Communications and Mobile Computing (IWCMC), 1222-1227,(2013) [Google Scholar]
- S. Cho, et al. Development of a wireless sensor network system for monitoring underground space. Autom. Constr., 20, 8, 1068-1079, (2011) [Google Scholar]
- P. Dutta, et al. Design of a wireless sensor network for catastrophic flood early warning system. In International Conference on Information Processing in Sensor Networks, Springer, Berlin, Heidelberg, 399-406, (2005) [Google Scholar]
- J. Gutiérrez, et al. Wireless sensor networks for anomaly detection in urban water distribution systems. Sensors, 14, 9, 16988-17007, (2014) [Google Scholar]
- S. Yoon, et al. Wireless sensor network system for real-time monitoring of underground structures. Autom. Constr., 19, 7, 803-813, (2010) [Google Scholar]
- A. Al-Fuqaha, et al. Fault detection and isolation techniques for wireless sensor networks: A survey. Sensors, 15, 12, 28413-28454, (2015) [Google Scholar]
- S. Cheng, et al. Survey of IoT fault diagnosis and prognosis techniques. IEEE Commun. Surv. Tutor., 19, 2, 983-1004, (2016) [Google Scholar]
- G. Han, K. Hyo-Jin. A survey on fault detection and isolation in wireless sensor networks. IEEE Wirel. Commun., 5, 5, 1484-1492, (2006) [Google Scholar]
- J. Jiang, et al. A framework for fault detection, isolation, and self-healing in sensor networks. IEEE Trans. Ind. Inform., 12, 4, 1546-1557, (2016) [Google Scholar]
- N. Lu, et al. Fault detection and isolation (FDI) techniques for wireless sensor networks: A survey. J. Netw. Comput. Appl., 57, 259-270, (2015) [Google Scholar]
- A. Al-Fuqaha, et al. Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Commun. Surv. Tutor., 17, 4, 2397-2426, (2015) [Google Scholar]
- S. Chen, et al. Vertical handover decision-making for cellular networks with device-to- device (D2D) communication. IEEE Wirel. Commun.,,17, 12,(2018) [Google Scholar]
- C. Harrison. et al. Applications for wireless sensor networks in the urban environment. In International Conference on Wireless Communications and Mobile Computing (IWCMC),pp. 1268-1273, (2010) [Google Scholar]
- Abbas Helmi, R. A., Salsabil Bin Eddy Yusuf, S., Jamal, A., & bin Abdullah, M. I. (2019). Face Recognition Automatic Class Attendance System (FRACAS). 2019 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2019 - Proceedings, 50–55. https://doi.org/10.1109/I2CACIS.2019.8825049 [Google Scholar]
- Abdullah, M. I., Hao, S. K., Abdullah, I., & Faizah, S. (2023). Parkinson’s Disease Symptom Detection using Hybrid Feature Extraction and Classification Model. 2023 IEEE 14th Control and System Graduate Research Colloquium, ICSGRC 2023 - Conference Proceeding, 93–98 [Google Scholar]
- T. Kalogiannis. et al. A survey on data management for smart cities: Challenges and opportunities. IEEE Access,7, 138132-138158, (2019) [Google Scholar]
- Y. Yang, M. Liu. A cyber-physical system framework for smart street lighting. IEEE Trans. Ind. Electron.., 62, 12, 7732-7741, (2015). [Google Scholar]
- M. Panda, O. Al Zaabi, K. Al Jaafari, P. Kumar, K. Al Hosani and U. R. Muduli, “State-of-Charge Droop Control for Efficient Power Sharing and Transient Response in Microgrids,” 2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET), London, United Kingdom, 2023, pp. 1-5, doi: 10.1109/GlobConET56651.2023.10149905. [Google Scholar]
- V M Revathi et al, “A modified invasive weed optimization for MPPT of PV based water pumping system driven by induction motor, IOP: Engineering Research Express, volume 6, number 3, July 2024, 10.1088/2631-8695/ad5cd3. [Google Scholar]
- Kandi Bhanu Prakash, Suresh Kakinatla, Sankara Rao Burada and Siva Ganesh Malla, “Hybrid Renewable Energy Sources based Mobile Charging Unit for Public Usage”, 1st International Conference on Power and Energy Systems (ICPES 2023), E3S Web of Conf, Volume 540, June 2024, https://doi.org/10.1051/e3sconf/202454001001. [Google Scholar]
- Malla, Priyanka, Malla, Siva Ganesh and Calay, Rajnish Kaur. “Voltage control of standalone photovoltaic – electrolyzer- fuel cell-battery energy system” International Journal of Emerging Electric Power Systems, vol. 24, no. 5, 2023, pp. 649-658. https://doi.org/10.1515/ijeeps-2022-0047. [Google Scholar]
- Priyanka Malla, “Novel Control Technique for MPPT of PV Standalone System with TSK Fuzzy controller”, International Journal of New Technologies in Science and Engineering (IJNTSE), Vol. 8, Issue. 8, pp. 1-7, Aug. 2022. [Google Scholar]
- R. K. Meena, D. V. Bhaskar, O. Al Zaabi, M. Panda, P. Kumar and U. R. Muduli, “Modeling of Two-Stage Photovoltaic Inverter with Grid Connected and Islanding Operation,” 2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies (GlobConHT), Male, Maldives, 2023, pp. 1-6, doi: 10.1109/GlobConHT56829.2023.10087517. [Google Scholar]
- N. Chaudhary, A. Ranjan, D. V. Bhaskar, M. Panda, A. Kumar and P. Kumar, “Harmonic Reduction Strategies for EV Charging in Power Systems Using Shunt Active Power Filter,” 2023 3rd International Conference on Emerging Frontiers in Electrical and Electronic Technologies (ICEFEET), Patna, India, 2023, pp. 1-6, doi: 10.1109/ICEFEET59656.2023.10452228. [Google Scholar]
- A. Saxena et al., “Intelligent Load Forecasting and Renewable Energy Integration for Enhanced Grid Reliability,” in IEEE Transactions on Industry Applications, doi: 10.1109/TIA.2024.3436471. [Google Scholar]
- S. K. Baksi, R. K. Behera and U. R. Muduli, “Optimized 9-Level Switched-Capacitor Inverter for Grid-Connected Photovoltaic Systems,” in IEEE Transactions on Industry Applications, vol. 60, no. 2, pp. 3284-3296, March-April 2024, doi: 10.1109/TIA.2023.3332059. [CrossRef] [Google Scholar]
- A. Saxena, R. Shankar, O. A. Zaabi, K. A. Hosani and U. R. Muduli, “Rule-Based Adaptive Frequency Regulation With Real Stochastic Model Intermittency in a Restructured Power System,” in IEEE Transactions on Industrial Informatics, vol. 20, no. 2, pp. 2907-2919, Feb. 2024, doi: 10.1109/TII.2023.3299422. [CrossRef] [Google Scholar]
- Pragathi, B., and P. Ramu. “Authentication Technique for Safeguarding Privacy in Smart Grid Settings.” E3S Web of Conferences. Vol. 540. EDP Sciences, 2024. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.