Three Day Energy Statistical Analysis Seminar and Workshop (Houston, United States – December 4-6, 2017) – Research and Markets

DUBLIN–(BUSINESS WIRE)–The "Three
Days: Energy Statistical Analysis Seminar and Workshop"
conference has been added to Research and Markets'
offering.

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 (CPE approved) 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.

What You Will Learn:

• 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.
• 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.
• How to minimize price risk through operational design flexibility;
  measure forward price volatility and adapt Value-at-Risk concepts
  (VaR) for the Energy Industry.
• Workshop exercises will have you building VaR models, calculating
  volatility and simulating complex energy projects.
• 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.
• Actual workshop problems and case studies will look at statistical
  applications and tools most frequently used in the energy industry.
• Learn the four manage statistical metrics.

For more information about this conference visit https://www.researchandmarkets.com/research/bhjvtn/three_days

Contacts

Research and Markets
Laura Wood, Senior Manager
press@researchandmarkets.com
For
E.S.T Office Hours Call 1-917-300-0470
For U.S./CAN Toll Free Call
1-800-526-8630
For GMT Office Hours Call +353-1-416-8900
Related
Topics: Energy
and Natural Resources