IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v15y2022i15p5621-d878942.html
   My bibliography  Save this article

Advanced AI Applications in Energy and Environmental Engineering Systems

Author

Listed:
  • Jaroslaw Krzywanski

    (Faculty of Science and Technology, Jan Dlugosz University in Czestochowa, Armii Krajowej 13/15, 42-200 Czestochowa, Poland)

Abstract

Artificial intelligence (AI) constitutes a kind of modelling method widely used in various fields of science including energy and environmental engineering [...]

Suggested Citation

  • Jaroslaw Krzywanski, 2022. "Advanced AI Applications in Energy and Environmental Engineering Systems," Energies, MDPI, vol. 15(15), pages 1-3, August.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5621-:d:878942
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/15/15/5621/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/15/15/5621/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ahmed Abu-Siada, 2019. "Improved Consistent Interpretation Approach of Fault Type within Power Transformers Using Dissolved Gas Analysis and Gene Expression Programming," Energies, MDPI, vol. 12(4), pages 1-13, February.
    2. Safoura Zadhossein & Yousef Abbaspour-Gilandeh & Mohammad Kaveh & Mariusz Szymanek & Esmail Khalife & Olusegun D. Samuel & Milad Amiri & Jacek Dziwulski, 2021. "Exergy and Energy Analyses of Microwave Dryer for Cantaloupe Slice and Prediction of Thermodynamic Parameters Using ANN and ANFIS Algorithms," Energies, MDPI, vol. 14(16), pages 1-19, August.
    3. Krzysztof Górnicki & Radosław Winiczenko & Agnieszka Kaleta, 2019. "Estimation of the Biot Number Using Genetic Algorithms: Application for the Drying Process," Energies, MDPI, vol. 12(14), pages 1-22, July.
    4. Ivan Lorencin & Nikola Anđelić & Vedran Mrzljak & Zlatan Car, 2019. "Genetic Algorithm Approach to Design of Multi-Layer Perceptron for Combined Cycle Power Plant Electrical Power Output Estimation," Energies, MDPI, vol. 12(22), pages 1-26, November.
    5. Mehdi Jadidi & Stevan Kostic & Leonardo Zimmer & Seth B. Dworkin, 2020. "An Artificial Neural Network for the Low-Cost Prediction of Soot Emissions," Energies, MDPI, vol. 13(18), pages 1-27, September.
    6. Naser Hossein Motlagh & Mahsa Mohammadrezaei & Julian Hunt & Behnam Zakeri, 2020. "Internet of Things (IoT) and the Energy Sector," Energies, MDPI, vol. 13(2), pages 1-27, January.
    7. Shokufe Afzali & Mohamad Mohamadi-Baghmolaei & Sohrab Zendehboudi, 2021. "Application of Gene Expression Programming (GEP) in Modeling Hydrocarbon Recovery in WAG Injection Process," Energies, MDPI, vol. 14(21), pages 1-28, November.
    8. Fazli Wahid & Muhammad Fayaz & Ayman Aljarbouh & Masood Mir & Muhammad Aamir & Imran, 2020. "Energy Consumption Optimization and User Comfort Maximization in Smart Buildings Using a Hybrid of the Firefly and Genetic Algorithms," Energies, MDPI, vol. 13(17), pages 1-26, August.
    9. Kasım Zor & Özgür Çelik & Oğuzhan Timur & Ahmet Teke, 2020. "Short-Term Building Electrical Energy Consumption Forecasting by Employing Gene Expression Programming and GMDH Networks," Energies, MDPI, vol. 13(5), pages 1-24, March.
    10. David Toquica & Kodjo Agbossou & Roland Malhamé & Nilson Henao & Sousso Kelouwani & Alben Cardenas, 2020. "Adaptive Machine Learning for Automated Modeling of Residential Prosumer Agents," Energies, MDPI, vol. 13(9), pages 1-19, May.
    11. Miroslav Crnogorac & Miloš Tanasijević & Dušan Danilović & Vesna Karović Maričić & Branko Leković, 2020. "Selection of Artificial Lift Methods: A Brief Review and New Model Based on Fuzzy Logic," Energies, MDPI, vol. 13(7), pages 1-15, April.
    12. Thomas Huybrechts & Philippe Reiter & Siegfried Mercelis & Jeroen Famaey & Steven Latré & Peter Hellinckx, 2021. "Automated Testbench for Hybrid Machine Learning-Based Worst-Case Energy Consumption Analysis on Batteryless IoT Devices," Energies, MDPI, vol. 14(13), pages 1-26, June.
    13. Mohammed Alkahtani & Yihua Hu & Zuyu Wu & Colin Sokol Kuka & Muflih S. Alhammad & Chen Zhang, 2020. "Gene Evaluation Algorithm for Reconfiguration of Medium and Large Size Photovoltaic Arrays Exhibiting Non-Uniform Aging," Energies, MDPI, vol. 13(8), pages 1-19, April.
    14. Pradyot Ranjan Jena & Shunsuke Managi & Babita Majhi, 2021. "Forecasting the CO 2 Emissions at the Global Level: A Multilayer Artificial Neural Network Modelling," Energies, MDPI, vol. 14(19), pages 1-23, October.
    15. Dorian Skrobek & Jaroslaw Krzywanski & Marcin Sosnowski & Anna Kulakowska & Anna Zylka & Karolina Grabowska & Katarzyna Ciesielska & Wojciech Nowak, 2020. "Prediction of Sorption Processes Using the Deep Learning Methods (Long Short-Term Memory)," Energies, MDPI, vol. 13(24), pages 1-16, December.
    Full references (including those not matched with items on IDEAS)

    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.
    1. Marcin Sosnowski & Jaroslaw Krzywanski & Norbert Skoczylas, 2022. "Adsorption Desalination and Cooling Systems: Advances in Design, Modeling and Performance," Energies, MDPI, vol. 15(11), pages 1-6, May.
    2. Cai, Benan & Long, Chengjun & Du, Qiaochen & Zhang, Wenchao & Hou, Yandong & Wang, Haijun & Cai, Weihua, 2023. "Analysis of a spray flash desalination system driven by low-grade waste heat with different intermittencies," Energy, Elsevier, vol. 277(C).
    3. Nallapaneni Manoj Kumar & Aneesh A. Chand & Maria Malvoni & Kushal A. Prasad & Kabir A. Mamun & F.R. Islam & Shauhrat S. Chopra, 2020. "Distributed Energy Resources and the Application of AI, IoT, and Blockchain in Smart Grids," Energies, MDPI, vol. 13(21), pages 1-42, November.
    4. Matteo Vaccargiu & Andrea Pinna & Roberto Tonelli & Luisanna Cocco, 2023. "Blockchain in the Energy Sector for SDG Achievement," Sustainability, MDPI, vol. 15(20), pages 1-23, October.
    5. Athanasios Tsipis & Asterios Papamichail & Ioannis Angelis & George Koufoudakis & Georgios Tsoumanis & Konstantinos Oikonomou, 2020. "An Alertness-Adjustable Cloud/Fog IoT Solution for Timely Environmental Monitoring Based on Wildfire Risk Forecasting," Energies, MDPI, vol. 13(14), pages 1-35, July.
    6. Abdul Hasib Siddique & Mehedi Hasan & Sharnali Islam & Khalid Rashid, 2021. "Prospective Smart Distribution Substation in Bangladesh: Modeling and Analysis," Sustainability, MDPI, vol. 13(19), pages 1-20, September.
    7. Alper Aydogan & Fatih Atalar & Aysel Ersoy Yilmaz & Pawel Rozga, 2020. "Using the Method of Harmonic Distortion Analysis in Partial Discharge Assessment in Mineral Oil in a Non-Uniform Electric Field," Energies, MDPI, vol. 13(18), pages 1-18, September.
    8. Hosseini Dehshiri, Seyyed Jalaladdin & Amiri, Maghsoud, 2023. "Evaluating the risks of the internet of things in renewable energy systems using a hybrid fuzzy decision approach," Energy, Elsevier, vol. 285(C).
    9. Germán Arana-Landín & Naiara Uriarte-Gallastegi & Beñat Landeta-Manzano & Iker Laskurain-Iturbe, 2023. "The Contribution of Lean Management—Industry 4.0 Technologies to Improving Energy Efficiency," Energies, MDPI, vol. 16(5), pages 1-19, February.
    10. Janvier Sylvestre N’cho & Issouf Fofana, 2020. "Review of Fiber Optic Diagnostic Techniques for Power Transformers," Energies, MDPI, vol. 13(7), pages 1-24, April.
    11. Imran & Naeem Iqbal & Shabir Ahmad & Do Hyeun Kim, 2021. "Towards Mountain Fire Safety Using Fire Spread Predictive Analytics and Mountain Fire Containment in IoT Environment," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
    12. Krzysztof Bartczak & Stanisław Łobejko, 2022. "The Implementation Environment for a Digital Technology Platform of Renewable Energy Sources," Energies, MDPI, vol. 15(16), pages 1-16, August.
    13. Bartosz Radomski & Tomasz Mróz, 2021. "The Methodology for Designing Residential Buildings with a Positive Energy Balance—Case Study," Energies, MDPI, vol. 14(16), pages 1-19, August.
    14. Shabana Urooj & Fadwa Alrowais & Yuvaraja Teekaraman & Hariprasath Manoharan & Ramya Kuppusamy, 2021. "IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities," Energies, MDPI, vol. 14(4), pages 1-16, February.
    15. M. Usman Saleem & Mustafa Shakir & M. Rehan Usman & M. Hamza Tahir Bajwa & Noman Shabbir & Payam Shams Ghahfarokhi & Kamran Daniel, 2023. "Integrating Smart Energy Management System with Internet of Things and Cloud Computing for Efficient Demand Side Management in Smart Grids," Energies, MDPI, vol. 16(12), pages 1-21, June.
    16. Eşlik, Ardan Hüseyin & Akarslan, Emre & Hocaoğlu, Fatih Onur, 2022. "Short-term solar radiation forecasting with a novel image processing-based deep learning approach," Renewable Energy, Elsevier, vol. 200(C), pages 1490-1505.
    17. Sandi Baressi Šegota & Nikola Anđelić & Mario Šercer & Hrvoje Meštrić, 2022. "Dynamics Modeling of Industrial Robotic Manipulators: A Machine Learning Approach Based on Synthetic Data," Mathematics, MDPI, vol. 10(7), pages 1-17, April.
    18. Asif Afzal & Saad Alshahrani & Abdulrahman Alrobaian & Abdulrajak Buradi & Sher Afghan Khan, 2021. "Power Plant Energy Predictions Based on Thermal Factors Using Ridge and Support Vector Regressor Algorithms," Energies, MDPI, vol. 14(21), pages 1-22, November.
    19. Mehmet Kayakuş & Mustafa Terzioğlu & Dilşad Erdoğan & Selin Aygen Zetter & Onder Kabas & Georgiana Moiceanu, 2023. "European Union 2030 Carbon Emission Target: The Case of Turkey," Sustainability, MDPI, vol. 15(17), pages 1-23, August.
    20. Shivam Gupta & Jazmin Campos Zeballos & Gema del Río Castro & Ana Tomičić & Sergio Andrés Morales & Maya Mahfouz & Isimemen Osemwegie & Vicky Phemia Comlan Sessi & Marina Schmitz & Nady Mahmoud & Mnen, 2023. "Operationalizing Digitainability: Encouraging Mindfulness to Harness the Power of Digitalization for Sustainable Development," Sustainability, MDPI, vol. 15(8), pages 1-37, April.

    More about this item

    Keywords

    n/a;

    Statistics

    Access and download statistics

    Corrections

    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:jeners:v:15:y:2022:i:15:p:5621-:d:878942. 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.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.