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Artificial Intelligence techniques: An introduction to their use for modelling environmental systems

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  1. Le Cam, M. & Daoud, A. & Zmeureanu, R., 2016. "Forecasting electric demand of supply fan using data mining techniques," Energy, Elsevier, vol. 101(C), pages 541-557.
  2. Nun Pitalúa-Díaz & Fernando Arellano-Valmaña & Jose A. Ruz-Hernandez & Yasuhiro Matsumoto & Hussain Alazki & Enrique J. Herrera-López & Jesús Fernando Hinojosa-Palafox & A. García-Juárez & Ricardo Art, 2019. "An ANFIS-Based Modeling Comparison Study for Photovoltaic Power at Different Geographical Places in Mexico," Energies, MDPI, vol. 12(14), pages 1-16, July.
  3. Ieva Meidute-Kavaliauskiene & Milad Alizadeh Jabehdar & Vida Davidavičienė & Mohammad Ali Ghorbani & Saad Sh. Sammen, 2021. "A Simple Way to Increase the Prediction Accuracy of Hydrological Processes Using an Artificial Intelligence Model," Sustainability, MDPI, vol. 13(14), pages 1-19, July.
  4. Jarotschkin, Viktor & Soykoth, Mostofa Wahid & Chaker, Nawar N., 2025. "Artificial intelligence in sales research: Identifying emergent themes and looking forward," Journal of Business Research, Elsevier, vol. 198(C).
  5. Vlontzos, G. & Pardalos, P.M., 2017. "Assess and prognosticate green house gas emissions from agricultural production of EU countries, by implementing, DEA Window analysis and artificial neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 155-162.
  6. Alsaleh, Nael & Farooq, Bilal, 2021. "Interpretable data-driven demand modelling for on-demand transit services," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 1-22.
  7. Azadeh, A. & Faiz, Z.S. & Asadzadeh, S.M. & Tavakkoli-Moghaddam, R., 2011. "An integrated artificial neural network-computer simulation for optimization of complex tandem queue systems," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 82(4), pages 666-678.
  8. Honglu Zhu & Xu Li & Qiao Sun & Ling Nie & Jianxi Yao & Gang Zhao, 2015. "A Power Prediction Method for Photovoltaic Power Plant Based on Wavelet Decomposition and Artificial Neural Networks," Energies, MDPI, vol. 9(1), pages 1-15, December.
  9. Alberto Dolara & Francesco Grimaccia & Sonia Leva & Marco Mussetta & Emanuele Ogliari, 2015. "A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output," Energies, MDPI, vol. 8(2), pages 1-16, February.
  10. Christian Janiesch & Patrick Zschech & Kai Heinrich, 2021. "Machine learning and deep learning," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 685-695, September.
  11. Bo Gao & Chunsheng Wang & Yukun Hu & C. K. Tan & Paul Alun Roach & Liz Varga, 2018. "Function Value-Based Multi-Objective Optimisation of Reheating Furnace Operations Using Hooke-Jeeves Algorithm," Energies, MDPI, vol. 11(9), pages 1-18, September.
  12. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
  13. Gong, Jian-zhou & Liu, Yan-sui & Xia, Bei-cheng & Zhao, Guan-wei, 2009. "Urban ecological security assessment and forecasting, based on a cellular automata model: A case study of Guangzhou, China," Ecological Modelling, Elsevier, vol. 220(24), pages 3612-3620.
  14. Yanxia Sun & Zenghui Wang & Barend Jacobus van Wyk, 2013. "Chaotic Hopfield Neural Network Swarm Optimization and Its Application," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
  15. Leva, S. & Dolara, A. & Grimaccia, F. & Mussetta, M. & Ogliari, E., 2017. "Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 88-100.
  16. Bhattacharya, Sourabh & Govindan, Kannan & Ghosh Dastidar, Surajit & Sharma, Preeti, 2024. "Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).
  17. Ogliari, Emanuele & Dolara, Alberto & Manzolini, Giampaolo & Leva, Sonia, 2017. "Physical and hybrid methods comparison for the day ahead PV output power forecast," Renewable Energy, Elsevier, vol. 113(C), pages 11-21.
  18. Toorajipour, Reza & Sohrabpour, Vahid & Nazarpour, Ali & Oghazi, Pejvak & Fischl, Maria, 2021. "Artificial intelligence in supply chain management: A systematic literature review," Journal of Business Research, Elsevier, vol. 122(C), pages 502-517.
  19. Fernando Ramos-Quintana & Efraín Tovar-Sánchez & Hugo Saldarriaga-Noreña & Héctor Sotelo-Nava & Juan Paulo Sánchez-Hernández & María-Luisa Castrejón-Godínez, 2019. "A CBR–AHP Hybrid Method to Support the Decision-Making Process in the Selection of Environmental Management Actions," Sustainability, MDPI, vol. 11(20), pages 1-30, October.
  20. Moren Lévesque & Martin Obschonka & Satish Nambisan, 2022. "Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence," Entrepreneurship Theory and Practice, , vol. 46(4), pages 803-832, July.
  21. Morando, S. & Jemei, S. & Hissel, D. & Gouriveau, R. & Zerhouni, N., 2017. "ANOVA method applied to proton exchange membrane fuel cell ageing forecasting using an echo state network," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 131(C), pages 283-294.
  22. Anamaria-Mirabela POP & Monica-Ariana SIM & Amalia STURZA & Simona-Veronica CACIORA, 2024. "A Perspective Into The Future Of Teaching And Learning In The Context Of The Rising Interest In Artificial Intelligence In Education. Opportunities And Ethical Challenges," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 33(1), pages 434-441, July.
  23. Hasanpour Seyedlar, Niloufar & Zamir, Seyed Morteza & Nosrati, Mohsen & Rene, Eldon R., 2024. "H2S mitigation for biogas upgrading in a full-scale anaerobic digestion process by using artificial neural network modeling," Renewable Energy, Elsevier, vol. 232(C).
  24. Matana, Gleison & Simon, Alexandre & Filho, Moacir Godinho & Helleno, André, 2020. "Method to assess the adherence of internal logistics equipment to the concept of CPS for industry 4.0," International Journal of Production Economics, Elsevier, vol. 228(C).
  25. Saeid Nahavandi, 2019. "Industry 5.0—A Human-Centric Solution," Sustainability, MDPI, vol. 11(16), pages 1-13, August.
  26. T. Olivia Muslim & Ali Najah Ahmed & M. A. Malek & Haitham Abdulmohsin Afan & Rusul Khaleel Ibrahim & Amr El-Shafie & Michelle Sapitang & Mohsen Sherif & Ahmed Sefelnasr & Ahmed El-Shafie, 2020. "Investigating the Influence of Meteorological Parameters on the Accuracy of Sea-Level Prediction Models in Sabah, Malaysia," Sustainability, MDPI, vol. 12(3), pages 1-18, February.
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