IDEAS home Printed from https://ideas.repec.org/a/wsi/nmncxx/v06y2010i03ns179300571000175x.html
   My bibliography  Save this article

Daily Artificial Dispatcher – The Other Head

Author

Listed:
  • S. Z. STEFANOV

    (ESO EAD, National Dispatching Center, 5 Veslets St., 1040 Sofia, Bulgaria)

Abstract

The paper suggests Daily Artificial Dispatcher (DAD), as an ambient intelligence that solves the problem for automatic predictive analysis of electric power system (EPS) security and efficiency, using EPS and weather summarized data. DAD is constructed as heading EPS, implementing common sense thinking a day ahead for EPS. DAD is verified, as it is shown that it is an intentional agent, a robot, and an intelligent system. DAD is validated, as it is shown that it is an EPS adequate security and efficiency computation.

Suggested Citation

  • S. Z. Stefanov, 2010. "Daily Artificial Dispatcher – The Other Head," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 275-283.
    • Handle: RePEc:wsi:nmncxx:v:06:y:2010:i:03:n:s179300571000175x
    DOI: 10.1142/S179300571000175X
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S179300571000175X
    Download Restriction: Access to full text is restricted to subscribers
    File URL: https://libkey.io/10.1142/S179300571000175X?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Justin Wolfers & Eric Zitzewitz, 2006. "Prediction Markets in Theory and Practice," NBER Working Papers 12083, National Bureau of Economic Research, Inc.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. S. Z. Stefanov & Paul P. Wang, 2017. "A Biologically-Inspired Smart Grid Replication," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 375-383, November.
    2. S. Z. Stefanov & Paul P. Wang, 2018. "Smart Grid Creatures," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 14(03), pages 307-321, November.

    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. Legge, Stefan & Schmid, Lukas, 2016. "Media attention and betting markets," European Economic Review, Elsevier, vol. 87(C), pages 304-333.
    2. Mary Lee Kennedy & Malgorzata (Gosia) Stergios, 2009. "How to Tie Everyday Work to Strategy," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 8(04), pages 287-300.
    3. Victor Tiberius & Christoph Rasche, 2011. "Prognosemärkte," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 21(4), pages 467-472, April.
    4. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    5. John J. Nay & Martin Van der Linden & Jonathan M. Gilligan, 2016. "Betting and Belief: Prediction Markets and Attribution of Climate Change," Papers 1603.08961, arXiv.org, revised Jul 2016.
    6. Pankaj Pandey & Einar Snekkenes, 2016. "Using Financial Instruments to Transfer the Information Security Risks," Future Internet, MDPI, vol. 8(2), pages 1-62, May.
    7. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico, 2019. "The temporal evolution of mispricing in prediction markets," Finance Research Letters, Elsevier, vol. 29(C), pages 303-307.
    8. Restocchi, Valerio & McGroarty, Frank & Gerding, Enrico, 2019. "Statistical properties of volume and calendar effects in prediction markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1150-1160.
    9. Davis, Brent, 2015. "Forecasting Elections: Do Prediction Markets Tells Us Anything More than the Polls?," MPRA Paper 65505, University Library of Munich, Germany.
    10. Coulomb, Renaud & Sangnier, Marc, 2014. "The impact of political majorities on firm value: Do electoral promises or friendship connections matter?," Journal of Public Economics, Elsevier, vol. 115(C), pages 158-170.
    11. C.J.M. Kool & S. Rosenkranz & M. Middeldorp, 2007. "Listening Without Understanding: Central Bank Transparency, Financial Markets and the Crowding Out of Private Information," Working Papers 07-19, Utrecht School of Economics.
    12. Wiesen, Taylor, 2023. "Aggregate earnings and market expectations in United States presidential election prediction markets," Advances in accounting, Elsevier, vol. 60(C).
    13. Caprini, Giulia, 2023. "Does candidates’ media exposure affect vote shares? Evidence from Pope breaking news," Journal of Public Economics, Elsevier, vol. 220(C).
    14. Raja, Aitazaz Ali & Pinson, Pierre & Kazempour, Jalal & Grammatico, Sergio, 2024. "A market for trading forecasts: A wagering mechanism," International Journal of Forecasting, Elsevier, vol. 40(1), pages 142-159.
    15. Enke, Benjamin & Schwerter, Frederik & Zimmermann, Florian, 2024. "Associative memory, beliefs and market interactions," Journal of Financial Economics, Elsevier, vol. 157(C).
    16. Nina Badulina & Dmitry Shatilovich & Mikhail Zhitlukhin, 2024. "On convergence of forecasts in prediction markets," Papers 2402.16345, arXiv.org.

    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:wsi:nmncxx:v:06:y:2010:i:03:n:s179300571000175x. 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: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscinet.com/nmnc/nmnc.shtml .

    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.