Towards Sustainable Energy Grids: A Machine Learning-Based Ensemble Methods Approach for Outages Estimation in Extreme Weather Events
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Hossain, Eklas & Roy, Shidhartho & Mohammad, Naeem & Nawar, Nafiu & Dipta, Debopriya Roy, 2021. "Metrics and enhancement strategies for grid resilience and reliability during natural disasters," Applied Energy, Elsevier, vol. 290(C).
- Branscomb, Lewis M., 2006. "Sustainable cities: Safety and security," Technology in Society, Elsevier, vol. 28(1), pages 225-234.
- Molyneaux, Lynette & Wagner, Liam & Froome, Craig & Foster, John, 2012.
"Resilience and electricity systems: A comparative analysis,"
Energy Policy, Elsevier, vol. 47(C), pages 188-201.
- Lynette Molyneaux & Liam Wagner & Craig Froome & John Foster, 2012. "Resilience and electricity systems: a comparative analysis," Energy Economics and Management Group Working Papers 15, School of Economics, University of Queensland, Australia.
- Linas Martišauskas & Juozas Augutis & Ričardas Krikštolaitis & Rolandas Urbonas & Inga Šarūnienė & Vytis Kopustinskas, 2022. "A Framework to Assess the Resilience of Energy Systems Based on Quantitative Indicators," Energies, MDPI, vol. 15(11), pages 1-25, May.
- Raza, Muhammad Qamar & Khosravi, Abbas, 2015. "A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings," Renewable and Sustainable Energy Reviews, Elsevier, vol. 50(C), pages 1352-1372.
- Fahad M. Almasoudi, 2023. "Enhancing Power Grid Resilience through Real-Time Fault Detection and Remediation Using Advanced Hybrid Machine Learning Models," Sustainability, MDPI, vol. 15(10), pages 1-21, May.
- Roshanak Nateghi & Seth Guikema & Steven Quiring, 2014. "Forecasting hurricane-induced power outage durations," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1795-1811, December.
- Wang, Chong & Ju, Ping & Wu, Feng & Pan, Xueping & Wang, Zhaoyu, 2022. "A systematic review on power system resilience from the perspective of generation, network, and load," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
- Liu, Hanchen & Wang, Chong & Ju, Ping & Li, Hongyu, 2022. "A sequentially preventive model enhancing power system resilience against extreme-weather-triggered failures," Renewable and Sustainable Energy Reviews, Elsevier, vol. 156(C).
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- Lingwen Meng & Jingliang Zhong & Shasha Luo & Xinshan Zhu & Yulin Wang & Shumei Zhang, 2024. "Multimodal Operation Data Mining for Grid Operation Violation Risk Prediction," Energies, MDPI, vol. 17(21), pages 1-16, October.
- Abdelhamid Zaidi, 2024. "Utilisation of Deep Learning (DL) and Neural Networks (NN) Algorithms for Energy Power Generation: A Social Network and Bibliometric Analysis (2004-2022)," International Journal of Energy Economics and Policy, Econjournals, vol. 14(1), pages 172-183, January.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Qian, Lanping & Bai, Yang & Wang, Wenya & Meng, Fanyi & Chen, Zhisong, 2023. "Natural gas crisis, system resilience and emergency responses: A China case," Energy, Elsevier, vol. 276(C).
- Benjamin McLellan & Qi Zhang & Hooman Farzaneh & N. Agya Utama & Keiichi N. Ishihara, 2012. "Resilience, Sustainability and Risk Management: A Focus on Energy," Challenges, MDPI, vol. 3(2), pages 1-30, August.
- Hou, Hui & Tang, Junyi & Zhang, Zhiwei & Wang, Zhuo & Wei, Ruizeng & Wang, Lei & He, Huan & Wu, Xixiu, 2023. "Resilience enhancement of distribution network under typhoon disaster based on two-stage stochastic programming," Applied Energy, Elsevier, vol. 338(C).
- Tang, Liangyu & Han, Yang & Zalhaf, Amr S. & Zhou, Siyu & Yang, Ping & Wang, Congling & Huang, Tao, 2024. "Resilience enhancement of active distribution networks under extreme disaster scenarios: A comprehensive overview of fault location strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 189(PA).
- Das, Laya & Munikoti, Sai & Natarajan, Balasubramaniam & Srinivasan, Babji, 2020. "Measuring smart grid resilience: Methods, challenges and opportunities," Renewable and Sustainable Energy Reviews, Elsevier, vol. 130(C).
- Schlör, Holger & Venghaus, Sandra & Hake, Jürgen-Friedrich, 2018. "The FEW-Nexus city index – Measuring urban resilience," Applied Energy, Elsevier, vol. 210(C), pages 382-392.
- Julia K. Szinai & David Yates & Pedro A. Sánchez-Pérez & Martin Staadecker & Daniel M. Kammen & Andrew D. Jones & Patricia Hidalgo-Gonzalez, 2024. "Climate change and its influence on water systems increases the cost of electricity system decarbonization," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
- Hou, Hui & Liu, Chao & Wei, Ruizeng & He, Huan & Wang, Lei & Li, Weibo, 2023. "Outage duration prediction under typhoon disaster with stacking ensemble learning," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
- Govindan, Rajesh & Al-Ansari, Tareq, 2019. "Computational decision framework for enhancing resilience of the energy, water and food nexus in risky environments," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 653-668.
- Dunn, Laurel N. & Sohn, Michael D. & LaCommare, Kristina Hamachi & Eto, Joseph H., 2019. "Exploratory analysis of high-resolution power interruption data reveals spatial and temporal heterogeneity in electric grid reliability," Energy Policy, Elsevier, vol. 129(C), pages 206-214.
- Liu, Che & Sun, Bo & Zhang, Chenghui & Li, Fan, 2020. "A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine," Applied Energy, Elsevier, vol. 275(C).
- Ahmed, R. & Sreeram, V. & Mishra, Y. & Arif, M.D., 2020. "A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 124(C).
- Jesus Beyza & Jose M. Yusta, 2021. "Integrated Risk Assessment for Robustness Evaluation and Resilience Optimisation of Power Systems after Cascading Failures," Energies, MDPI, vol. 14(7), pages 1-18, April.
- Marius Eugen Țiboacă-Ciupăgeanu & Dana Alexandra Țiboacă-Ciupăgeanu, 2024. "Optimal Substation Placement: A Paradigm for Advancing Electrical Grid Sustainability," Sustainability, MDPI, vol. 16(10), pages 1-14, May.
- Mazur, Christoph & Hoegerle, Yannick & Brucoli, Maria & van Dam, Koen & Guo, Miao & Markides, Christos N. & Shah, Nilay, 2019. "A holistic resilience framework development for rural power systems in emerging economies," Applied Energy, Elsevier, vol. 235(C), pages 219-232.
- V. Y. Kondaiah & B. Saravanan, 2022. "Short-Term Load Forecasting with a Novel Wavelet-Based Ensemble Method," Energies, MDPI, vol. 15(14), pages 1-17, July.
- Alain Aoun & Mehdi Adda & Adrian Ilinca & Mazen Ghandour & Hussein Ibrahim, 2024. "Centralized vs. Decentralized Electric Grid Resilience Analysis Using Leontief’s Input–Output Model," Energies, MDPI, vol. 17(6), pages 1-21, March.
- Namrye Son, 2021. "Comparison of the Deep Learning Performance for Short-Term Power Load Forecasting," Sustainability, MDPI, vol. 13(22), pages 1-25, November.
- Nowotarski, Jakub & Weron, Rafał, 2018.
"Recent advances in electricity price forecasting: A review of probabilistic forecasting,"
Renewable and Sustainable Energy Reviews, Elsevier, vol. 81(P1), pages 1548-1568.
- Jakub Nowotarski & Rafal Weron, 2016. "Recent advances in electricity price forecasting: A review of probabilistic forecasting," HSC Research Reports HSC/16/07, Hugo Steinhaus Center, Wroclaw University of Science and Technology.
- Molyneaux, Lynette & Froome, Craig & Wagner, Liam & Foster, John, 2013.
"Australian power: Can renewable technologies change the dominant industry view?,"
Renewable Energy, Elsevier, vol. 60(C), pages 215-221.
- Lynette Molyneaux & Craig Froome & Liam Wagner & John Foster, 2012. "Australian Power: Can renewable technologies change the dominant industry view?," Energy Economics and Management Group Working Papers 13-2012, School of Economics, University of Queensland, Australia.
More about this item
Keywords
extreme events; resilience; energy management resilience; ensemble methods;All these keywords.
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:16:p:12622-:d:1221420. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.