Liu T, Guan ,X, Wang Z, Qin T, Sun R, Wang,Y Optimizing green supply chain circular economy in smart cities with integrated machine learning technology, Heliyon 10 (2024) e29825
Alijoyo,F,A AI-powered deep learning for sustainable industry 4.0 and internet of things: Enhancing energy management in smart buildings, Alexandria Engineering Journal 104 (2024) 409–422
Yang, X.; Wang, Z.; Zhang, H.; Ma, N.; Yang, N.; Liu, H.; Zhang, H.; Yang, L. A Review: Machine Learning for Combinatorial Optimization Problems in Energy Areas. Algorithms 2022, 15, 205. https://doi.org/10.3390/a15060205
Zhu ,J, Wu ,Y Liu ,Z Costa,C Sustainable Optimization in Supply Chain
Management Using Machine Learning, International Journal of Management Science Research, Vol.8, Issue 1, (Jan) ISSN 2536-6
Cerqueira-Streit, J.A.; Endo, G.Y.; Guarnieri, P.; Batista, L. Sustainable Supply Chain Management in the Route for a Circular Economy: An Integrative Literature Review. Logistics 2021, 5, 81. https://doi.org/10.3390/ logistics5040081
Alzoubi,A MACHINE LEARNING FOR INTELLIGENT ENERGYCONSUMPTION IN SMART HOMES, International Journal of Computations, Information and Manufacturing (IJCIM), Vol.2, Issue.1, 2022
Onukwulu ,E,C, Agho M,O and Eyo-Udo,N,L Developing a framework for AI-driven optimization of supply chains in energy sector, Global Journal of Advanced Research and Reviews, 2023, 01(02), 082-0101
Jampani,S, Avancha,S Mangal,A, , Machine Learning Algorithms for Supply Chain Optimisation, International Journal of Research in Modern Engineering and Emerging Technology (IJRMEET) Vol.11 | Issue-4 | April-2023| ISSN: 2320-6586
. Pereraa, P.U., Vahid Nikb,W, Scartezzini,J,J, Machine learning methods to assist energy system optimization, Applied Energy · June 2019
Barrie ,I Agupugo ,CH,P, Iguare ,H,O and Folarin,A Leveraging machine learning to optimize renewable energy integration in developing economies, Global Journal of Engineering and Technology Advances, 2024, 20(03), 080–093
Malhotra,G Impact of circular economy practices on supply chain capability, flexibility and sustainable supply chain performance, The International Journal of Logistics Management © Emerald Publishing Limited 0957-4093 DOI 10.1108/IJLM-01-2023-0019
Rao, H.; Li, J.; Sun, X. Demand Forecasting and Allocation Optimization of Green Power Grid Supply Chain Based on Machine Learning Algorithm: A Study Based on the Whole-Process Data of Power Grid Materials. Sustainability 2025, 17, 1247. https://doi.org/10.3390/ su17031247
Mahmood1,SH Sun,H, Alhussan3,,A,AAsifa Iqbal4 & El‑Sayed M. El‑kenawy, Active learning‑based machine learning approach for enhancing environmental sustainability in green building energy consumption, Scientifc Reports | (2024) 14:19894 | https://doi.org/10.1038/s41598-024-70729-4
Duan,Y · Khokhar,M · · Anshuman Sharma,A,R · Tahir Islam, The role of digital technology and environmental sustainability in circular supply chains based on the fuzzy TOPSIS model, Environment, Development and Sustainability https://doi.org/10.1007/s10668-024-05924-4
BAGWARI A, (Senior Member, IEEE), , An Enhanced Energy Optimization Modelfor Industrial Wireless Sensor Networks Using Machine Learning, Digital Object Identifier 10.1109/ACCESS.2023.3311854
Afroozi,M,A Gramifar,M| azratifar,B Keshvari4 M,M
Razavian,S,B,, Optimization of Lithium‐Ion Battery Circular Economy in Electric Vehicles in Sustainable Supply Chain, Battery Energy, 2025; 4:e20240057
Liu, J.; Chen, J. Applications and Trends of Machine Learning in Building Energy Optimization: A Bibliometric Analysis. Buildings 2025, 15, 994. https://doi.org/10.3390/ buildings15070994
Theeraworawit, M.; Suriyankietkaew, S.; Hallinger, P. Sustainable Supply Chain Management in a Circular Economy: A Bibliometric Review. Sustainability 2022, 14, 9304. https://doi.org/ 10.3390/su14159304
de la Torre, R.; Onggo, B.S.; Corlu, C.G.; Nogal, M.; Juan, A.A. The Role of Simulation and Serious Games in Teaching Concepts on Circular Economy and Sustainable Energy. Energies 2021, 14, 1138. https://doi.org/10.3390/en14041138
Joshan. Advanced Machine Learning Techniques for Smart Grid Optimization and Energy Management. J. Eng. Ind. Res. 2025, 6 (2):142-156
Han CH, Zhang, Q,Optimization of supply chain efficiency management based on machine learning and neural network, Neural Computing and Applications https://doi.org/10.1007/s00521-020-05023-1
Liu Z, Xu SH Shihao Zhao a, Yuewen Li b, Meiling Zhou a, Shuosen Li b,
Fei Meng, Clean energy supply chain optimization: Steady-state natural gas transportation, Cleaner Logistics and Supply Chain 15 (2025) 100214
JAMIL ,F IQBAL , N,IMRAN , AHMAD ,SH, Peer-to-Peer Energy Trading Mechanism Based on Blockchain and Machine Learning for Sustainable Electrical Power Supply in Smart Grid, Digital Object Identifier 10.1109/ACCESS.2021.3060457