Past event: Fundamentals of Energy Statistical Analysis

A Two-Day Classroom Seminar (CPE Approved)

Companies continue to be exposed to significant energy and electricity related price risk, and this risk needs to be 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."

Operational decisions, capital investment, risk management, strategic positioning, litigation, and marketing are some of the many areas that require accurate information and analysis founded on sound statistical principles. This comprehensive two-day program is designed to provide a solid understanding of key statistical and analytic tools used in the energy and electric power markets. 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

  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. How to minimize price risk through operational design Flexibility; measure forward price volatility and adapt Value-at-Risk concepts (VaR) for the Energy Industry.
  3. Use actual case studies to examine 1) how Monte Carlo simulation is used to value Demand Response programs; 2) benchmarking techniques used for estimating the incremental cost savings of expanding existing operations; and 3) real-option value of generation assets.

Your Instructor

Kenneth Skinner, PhD - VP and Chief Operating Officer, Integral Analytics

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.

The full agenda is not yet available for this event.
Follow this event to receive an alert when the agenda becomes available.


Seminar Agenda

DAY ONE:

The Basics of Deterministic vs. Probabilistic Thinking in Deregulated Markets (2.0 hours)

  • Means vs. Standard Deviations
  • Distribution Shapes
  • Confidence Intervals
  • Probability
  • Simulation

Application: Setting up a Monte Carlo Simulation

Example 1-Confidence Intervals for Calculating Value at Risk - VaR

Example 2-Customer Migration Model Estimating Migration out of Standard Offer Service in a Deregulated Retail Electricity Market

Correlation and Regression Analysis for Maintaining the Competitive Edge (2.0 hours)

  • Univariate and Multivariate Analysis
  • Hypotheses Testing
  • Testing for Equal Means and Variances
  • Control Charts

Application: Benchmarking to Industry Standards

Example 1-Comparing O&M Expenditure to that of Peer Facilities

Example 2- Estimating the "Economies of Scale" (marginal cost reduction) Associated with Multiple Unit Generation Facilities

The Energy Forecasting Toolbox (2 hours)

  • Historical Trend Analysis
  • Univariate Time Series
  • Multivariate Time Series
  • Econometric Models
  • Bayesian Estimation
  • End-Use Models
  • Engineering or Process Models
  • Optimization
  • Network Models
  • Simulation
  • Game Theory
  • Scenarios
  • Surveys


DAY TWO:

Time Series Step-by-Step (2hours)

  • Time Plots
  • Adjusting for Stationarity
  • Logarithmic Transformation
  • Differencing
  • Correlation and Partial Correlation Functions
  • Model Specification and Selection
  • ARMA Models
  • Estimated Parameters and Standard Errors
  • Testing for White Noise
  • Heteroskedasticity
  • Autocorrelation
  • Forecasting Future Values
  • Additional Seasonality Considerations

Example 1-Statistical Reports that everyone can understand

Introduction to Real Options Analysis (2 hours)

  • Details of Option Model Implementation
  • Black-Scholes, Binomial Trees, and GARCH Models
  • Application: Real Option Valuation
  • Example of Valuing The Option of Real-Time Forward Load Reduction
  • Estimating Volatility and Uncertainty In Historical Prices
  • Measuring Forward Volatility
  • Adapting Value-at-Risk (VaR) for the Energy Industry

Application: Optimal Hedging using Statistical Triggers

Application: Minimizing Price Risk through Operational Design Flexibility

Example 1- Valuing Combustion Turbines using Real Options

Example 2- Valuing Gas Storage using Real Options


Venue

Homewood Suites by Hilton Houston Near the Galleria
2950 Sage Rd, 77056
Houston, TX, USA

Who Should Attend this Seminar

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.

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

Program Level
Basic level. This fundamental course begins with basic material and then proceeds to the intermediate level.

Delivery Method
Group-live.


Hotel and Seminar Information

This seminar will be held at the hotel listed below. The seminar will start promptly at 8:00 AM and will finish at 4:00 PM on the first day. On the second day, the seminar will resume at 8:00 AM and will finish at 12:00 PM. The program includes continental breakfast, lunch and coffee breaks on the first day and a continental breakfast and coffee break on the second day. Attendees also receive a professionally produced seminar manual that can serve as a valuable office reference. Dress is casual for all seminars

Homewood Suites by Hilton Houston Near the Galleria
2950 Sage Road
Houston, TX 77056
Telephone: (713) 439-1305
View Seminar Location Website

Because of the diversity of hotels found in the area, we will not be holding a block of sleeping rooms with one particular hotel.

Event details
Organizer : PGS
Event type : Training Course
Reference : ASDE-3220