[id] => 22
    [parent_id] => 22
    [topic_id] => 4
    [topic_name] => Energy Analytics
    [topic_name_short] => Energy Analytics
    [code] => A1011
    [sort] => 1
    [title] => Introduction to Energy Statistics
    [format] => 
    [posted] => 1
    [status] => active
    [num_sessions] => 1
    [date_live] => 2019-08-14
    [date_ondemand] => 2019-08-21
    [timezone] => U.S. EDT
    [is_live] => 1
    [is_ondemand] => 1
    [ondemand_ready] => 0
    [instructor_id] => 5
    [instructor_name] => Ken Skinner
    [instructor_title] => VP and Chief Operating Officer, Integral Analytics
    [instructor_description] => 

Kenneth Skinner, Ph.D. is Vice President of Risk & Evaluation Products for Integral Analytics, an analytical software and management consulting firm focused on operational, planning, and market research solutions. Dr. Skinner has over 20 years’ experience in evaluation and risk measurement, having worked as an energy consultant with PHB Hagler Bailly and Financial Times (FT) Energy, and as the Derivative Structuring Manager for the retail energy supplier Sempra Energy Solutions. He has his Ph.D. from Colorado School of Mines, in Mineral Economics, with an emphasis in Operations Research, an MBA from Regis University and his BS in Engineering from Letourneau University.

Dr. Skinner is a nationally recognized expert in economic evaluation and modeling of energy assets including energy storage, distribution and generation, efficiency and demand response, renewable energy alternatives, financial derivatives and structured contracts using net present value, econometric and statistical methods, optimization principles, and real option valuation techniques. Dr. Skinner is currently the technology columnist for Wiley Natural Gas and Electricity Journal and is a noted speaker on energy related topics for organizations such as AESP, IAEE, ACEEE, PLMA, IEPEC, INFORMS, Infocast, EUCI, SNL Energy and PGS Energy Training.

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Energy and electricity companies worldwide depend on accurate information about the risks and opportunities facing day to day decisions. Statistical analysis is frequently misapplied and many companies find that "a little bit of knowledge is a dangerous thing." In this course we examine the introductory principles of statistical analysis as a foundational course for energy applications. The course focuses on those foundational principles that are most used in energy analytics and serves as the foundational course for more advanced more the advanced application courses in this series.

This proven online seminar features the same material used in the popular PGS in-person classroom training program. Register today and join the over 10,000 energy professionals who have already benefited from an in-depth PGS seminar.

[learn] =>
  1. How to use correlation and regression analysis for maintaining a competitive edge.
  2. Principles of probabilistic vs. deterministic thinking in successful capital investment decisions.
  3. The analyst tool box in forecasting future opportunities and risks.
[also_learn] => [agenda] => [attend] =>

The course is designed for those who desire a fundamental understanding of this vital topic including utility employees, commission staff, energy service professionals, and others. The course is designed to provide a solid understanding of the principles and terminology of EE and DR programs, and provide an introduction to the advanced analysis techniques and models that are used by program planners and evaluators. The course is not overly analytical, but rather summarizes these important techniques used by DSM professionals.

[prereq] =>

This fundamental level group live seminar has no prerequisites. No advance preparation is required before the seminar.

[choose] =>

PGS seminars are known for their clear explanations and in-depth content. Register for a PGS class today, and join the over 10,000 energy professionals who have already attended one of PGS's proven programs.

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