Last edited by JoJorr
Wednesday, July 15, 2020 | History

4 edition of Energy modelling and the management of uncertainty. found in the catalog.

Energy modelling and the management of uncertainty.

  • 34 Want to read
  • 31 Currently reading

Published by Risk Books in London .
Written in English

    Subjects:
  • Electric power -- Pricing.,
  • Electric power -- Pricing -- Mathematical models.,
  • Power resources -- Pricing -- Mathematical models.,
  • Power resources -- Mathematical models.

  • Edition Notes

    Includes bibliographical references and index.

    Classifications
    LC ClassificationsHD9502.A2 E5465 1999
    The Physical Object
    Paginationxvii, 172 p. :
    Number of Pages172
    ID Numbers
    Open LibraryOL6822369M
    ISBN 10189933243X
    LC Control Number00303089

    However, the uncertainty and intermittent generation pattern in wind farms and the com-plexity of demand side management pose huge challenges. In chapter 3, we analytically investigate how to integrate DR and wind energy with fossil fuel generators to (1) minimize power generation cost; and (2) fully take advantage of the wind energy with the. Uncertainty and Probability A lot of this book is grounded in the essential methods of probability, in particu-lar using it to represent uncertainty. While probability is a simple mathematical construction, philosophically it has had at least three di erent meanings. In theFile Size: 1MB.

    Uncertainty-based reasoning models; JM2's ethos is focused on the utilization of management data which is susceptible to research modelling processes. The main management disciplines from which submissions derive are: Business analytics; Audit and accounting; Energy management and climate economics; Entrepreneurship; Financial engineering. Water demand, which is perhaps the main process governing water distribution systems (WDS), is affected by natural variability. The inherent uncertainty of demand is not negligible. Thus, uncertain demand should be modelled as a stochastic process or described using statistical by: 3.

    @article{osti_, title = {Quantifying uncertainty in LCA-modelling of waste management systems}, author = {Clavreul, Julie and Guyonnet, Dominique and Christensen, Thomas H}, abstractNote = {Highlights: Black-Right-Pointing-Pointer Uncertainty in LCA-modelling of waste management is significant. Black-Right-Pointing-Pointer Model, scenario and parameter uncertainties contribute. Model uncertainty is also one of the most challenging areas of statistics, for several reasons. First, the number of possible models under consideration may be overwhelming. Take ordinary linear regression for instance, where we seek to explain observed data by linearly relating the data to possible covariates.


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Energy modelling and the management of uncertainty Download PDF EPUB FB2

An industry acclaimed bestseller – Energy Modelling has been extensively revised, updated and extended for the markets of This second edition is your detailed guide to how the tools of quantitative finance are being applied to the fast moving world of energy by: 3.

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Risk-Based Energy Management: DC, AC and Hybrid AC-DC Microgrids defines the problems and challenges of DC, AC and hybrid AC-DC microgrids and considers the right tactics and risk-based scheduling to tackle them.

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