IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i9p3832-d355375.html
   My bibliography  Save this article

Development of Cross-Domain Artificial Neural Network to Predict High-Temporal Resolution Pressure Data

Author

Listed:
  • Young Hwan Choi

    (Department of Civil and Architectural Engineering and Mechanics, University of Arizona, Tucson, AZ 85721, USA)

  • Donghwi Jung

    (School of Civil, Environmental and Architectural Engineering, Korea University, Seoul 02841, Korea)

Abstract

Forecasting hydraulic data such as pressure and demand in water distribution system (WDS) is an important task that helps ensure efficient and accurate operations. Despite high-performance data prediction, missing data can still occur, making it difficult to effectively operate WDS. Though the pressure data are directly related to the rules of operation for pumps or valves, few studies have been conducted on pressure data forecasting. This study proposes a new missing and incomplete data control approach based on real pressure data for reliable and efficient WDS operation and maintenance. The proposed approach is: (1) application of source data from high-resolution, real-world pressure data; (2) development of a cross-domain artificial neural network (CDANN), combining the standard artificial neural networks (ANNs) and the cross-domain training approach for missing data control; and (3) analysis of standard data mining according to external factors to improve prediction accuracy. To verify the proposed approach, a real-world network located in South Korea was used, and the forecasting results were evaluated through performance indicators (i.e., overall, special points, and percentage errors). The performance of the CDANN is compared with that of standard ANNs, and CDANN was found to provide better predictions than traditional ANNs.

Suggested Citation

  • Young Hwan Choi & Donghwi Jung, 2020. "Development of Cross-Domain Artificial Neural Network to Predict High-Temporal Resolution Pressure Data," Sustainability, MDPI, vol. 12(9), pages 1-17, May.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:9:p:3832-:d:355375
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/9/3832/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/9/3832/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Abdüsselam Altunkaynak & Mehmet Özger & Mehmet Çakmakci, 2005. "Water Consumption Prediction of Istanbul City by Using Fuzzy Logic Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 641-654, October.
    2. James Honaker & Gary King, 2010. "What to Do about Missing Values in Time‐Series Cross‐Section Data," American Journal of Political Science, John Wiley & Sons, vol. 54(2), pages 561-581, April.
    3. Stavroula Tsitsifli & Vasilis Kanakoudis & Ioannis Bakouros, 2011. "Pipe Networks Risk Assessment Based on Survival Analysis," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(14), pages 3729-3746, November.
    4. Mahmut Firat & Mehmet Yurdusev & Mustafa Turan, 2009. "Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 617-632, March.
    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. Xiao-Chen Yuan & Yi-Ming Wei & Su-Yan Pan & Ju-Liang Jin, 2014. "Urban Household Water Demand in Beijing by 2020: An Agent-Based Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 2967-2980, August.
    2. Paresh Shirsath & Anil Singh, 2010. "A Comparative Study of Daily Pan Evaporation Estimation Using ANN, Regression and Climate Based Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(8), pages 1571-1581, June.
    3. Paul Poast, 2013. "Issue linkage and international cooperation: An empirical investigation," Conflict Management and Peace Science, Peace Science Society (International), vol. 30(3), pages 286-303, July.
    4. Feldkircher, Martin, 2014. "The determinants of vulnerability to the global financial crisis 2008 to 2009: Credit growth and other sources of risk," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 19-49.
    5. Shige Song, 2013. "Prenatal malnutrition and subsequent foetal loss risk: Evidence from the 1959-1961 Chinese famine," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(26), pages 707-728.
    6. Badi H. Baltagi & Georges Bresson & Anoop Chaturvedi & Guy Lacroix, 2022. "Robust Dynamic Space-Time Panel Data Models Using ε-contamination: An Application to Crop Yields and Climate Change," Center for Policy Research Working Papers 254, Center for Policy Research, Maxwell School, Syracuse University.
    7. Lara Lopez & Fernando L. Vázquez & Ángela J. Torres & Patricia Otero & Vanessa Blanco & Olga Díaz & Mario Páramo, 2020. "Long-Term Effects of a Cognitive Behavioral Conference Call Intervention on Depression in Non-Professional Caregivers," IJERPH, MDPI, vol. 17(22), pages 1-24, November.
    8. Kobayashi, Yoshiharu & Heinrich, Tobias & Bryant, Kristin A., 2021. "Public support for development aid during the COVID-19 pandemic," World Development, Elsevier, vol. 138(C).
    9. Matilde Jeppesen, 2021. "What we hoped for and what we achieved: Tax performance of Semi‐Autonomous Revenue Authorities in sub‐Saharan Africa," Public Administration & Development, Blackwell Publishing, vol. 41(3), pages 115-127, August.
    10. Taymoor Awchi, 2014. "River Discharges Forecasting In Northern Iraq Using Different ANN Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(3), pages 801-814, February.
    11. Qiang Xu & Qiuwen Chen & Jinfeng Ma & Koen Blanckaert & Zhonghua Wan, 2014. "Water Saving and Energy Reduction through Pressure Management in Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(11), pages 3715-3726, September.
    12. Zheng Zeng & Wei-Ge Luo & Fa-Cheng Yi & Feng-Yu Huang & Cheng-Xia Wang & Yi-Ping Zhang & Qiang-Qiang Cheng & Zhe Wang, 2021. "Horizontal Distribution of Cadmium in Urban Constructed Wetlands: A Case Study," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    13. Vendrell-Herrero, Ferran & Darko, Christian & Vaillant, Yancy, 2022. "Firm productivity and government contracts: The moderating role of corruption," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    14. Miller, Ray & Bairoliya, Neha & Canning, David, 2019. "Health disparities and the socioeconomic gradient in elderly life-cycle consumption," The Journal of the Economics of Ageing, Elsevier, vol. 14(C).
    15. Tobias Böhmelt & Tina Freyburg, 2013. "The temporal dimension of the credibility of EU conditionality and candidate states’ compliance with the acquis communautaire, 1998–2009," European Union Politics, , vol. 14(2), pages 250-272, June.
    16. Carl Henrik Knutsen, 2012. "Democracy and economic growth: A survey of arguments and results," International Area Studies Review, Center for International Area Studies, Hankuk University of Foreign Studies, vol. 15(4), pages 393-415, December.
    17. Josh Siepel & Marcus Dejardin, 2020. "How do we measure firm performance? A review of issues facing entrepreneurship researchers," Working Papers halshs-02571478, HAL.
    18. Helge Holtermann, 2012. "Explaining the Development–Civil War Relationship," Conflict Management and Peace Science, Peace Science Society (International), vol. 29(1), pages 56-78, February.
    19. Martins, Rodrigo & Veiga, Francisco José, 2014. "Does voter turnout affect the votes for the incumbent government?," European Journal of Political Economy, Elsevier, vol. 36(C), pages 274-286.
    20. Ahmed Sattar & B. Gharabaghi & Edward McBean, 2016. "Prediction of Timing of Watermain Failure Using Gene Expression Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(5), pages 1635-1651, March.

    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:jsusta:v:12:y:2020:i:9:p:3832-:d:355375. 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.