In-Depth: Practical Statistical Analysis for the Energy & Power Markets

PGS Energy Training
Training overview
3 days
2,945 USD
English
Next start date: 4/22/2020 - Houston
Classroom / Public
PGS Energy

Course description

In-Depth: Practical Statistical Analysis for the Energy & Power Markets

This course adds a third day to the popular Energy Statistical Analysis seminar to allow the time needed for a more in-depth discussion and explanation of many important topics. Additionally, this three-day course is designed as a hand-on workshop. Not only will you learn about practical energy statistical techniques and tools, but you will practice building statistical models in a workshop format.

Learn why companies continue to be exposed to significant energy and electricity related price risk, and how risk and value are properly quantified. 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."

This comprehensive three-day program is designed to provide a solid understanding of key statistical and analytic tools used in the energy and electric power markets. Through a combination of lecture and hands-on exercises that you will complete using your own laptop, participants will learn and practice key energy applications of statistical modeling. Be armed with the tools and methods needed to properly analyze and measure data to reduce risk and increase earnings for your organization.

A laptop is required with any version of EXCEL.

Who should attend?

Among those who will benefit from this seminar include energy and electric power executives; attorneys; government regulators; traders & trading support staff; marketing, sales, purchasing & risk management personnel; accountants & auditors; plant operators; engineers; and corporate planners. Types of companies that typically attend this program include energy producers and marketers; utilities; banks & financial houses; industrial companies; accounting, consulting & law firms; municipal utilities; government regulators and electric generators.

Training Content

What You Will Learn

  1. Correlation & regression analysis; real option analysis; the Black-Scholes option pricing model; binomial trees; GARCH Models; the measurement of energy price risk; and how to use correlation and regression analysis for maintaining a competitive edge.
  2. Workshop exercises will have you building forecast models including time series and financial engineering price models including Geometric Brownian Motion and Mean Reversion Jump Diffusion.
  3. How to minimize price risk through operational design flexibility; measure forward price volatility and adapt Value-at-Risk concepts (VaR) for the Energy Industry.
  4. Workshop exercises will have you building VaR models, calculating volatility and simulating complex energy projects.
  5. Use actual case studies to examine 1) how Monte Carlo simulation is used to value renewable energy, demand response programs and energy storage projects; 2) bench-marking techniques used for estimating the incremental cost savings of expanding existing operations; and 3) real-option value of generation assets and power purchase agreements.
  6. Actual workshop problems and case studies will look at statistical applications and tools most frequently used in the energy industry.
  7. Learn the four manage statistical metrics.

Certification / Credits

This live group seminar is eligible for 18.0 CPE credits. Be aware that state boards of accountancy have final authority on the acceptance of individual courses for CPE credit.

About PGS

PGS Energy Training

PGS Energy Training

PGS Energy Training (PGS) is a leading provider of quality seminars for the electric power and energy industries. Established in 1990, PGS offers on-site training programs, open-registration classroom seminars, live online seminars, and private education sessions for senior executives....


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