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Course Title
 Brief
Description
Full
Description
Introduction To Energy Statistics (KS101)
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Intermediate Applications Of Energy Statistics (KS102)
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Energy Risk Fundamentals (KS201)
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Advance Energy Risk Calculations (KS202)
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Real-Option Valuation of Energy Assets and Structured Contracts (KS401)
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Structured Contracts (KS402)
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Understanding the Economics of Energy Efficiency and Demand Response Programs
and Principles of Cost Effective Program Design (KS501)
Energy Efficiency and Demand Response: Valuation and Regulation (RS101)
Classroom (In-Person): Fundamentals of Energy Statistical Analysis (KSCR101) New!
Classroom (In-Person): Advanced Energy Asset Valuation Workshop (KSCR201) New!
 
 
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.

Learn These Keys to Success:

       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.


Intermediate Applications of Energy Statistics (KS102)

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. Building on the introductory statistical concepts, this course is designed to provide a solid understanding of key statistical and analytic tools used in the energy and electric power markets by examining several applications of statistical analysis. Be armed with the tools and methods needed to properly analyze and measure data to reduce risk and increase earnings for your organization. This course is an intermediate level course covering several applications and prepares the participant for the application specific advanced courses offered in this series.

Learn These Keys to Success:

1. Using real option analysis, the Black-Scholes option pricing model and binomial trees for valuing commodity dependent assets, and GARCH models to measure energy price risk.
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. How Monte Carlo simulation is used to value Demand Response programs; benchmarking techniques used for estimating the incremental cost savings of expanding existing operations; and the real-option value of generation assets.


Energy Risk Fundamentals (KS201)

This fundamentals seminar takes participants from the basic statistics underlying value-at-risk (VaR) to the most sophisticated techniques used by energy companies today. Learn how a set of effective planning tools can be used to frame, analyze and manage your organization's exposures. In addition to presenting the fundamental concepts of VaR, EaR and risk management, this seminar will also address the financial hedging tools that are required to effectively manage energy risk. Learn a comprehensive energy risk management methodology that addresses energy risk from the strategic perspective of the enterprise level all the way down to the detailed management of specific individual risks.

Learn These Keys to Success:

1. Strategic Risk Management Plan and why it’s important.
2. Risk framing to identify, assess, control and monitor energy risk.
3. Fundamentals of hedging energy risk exposure using spot purchases, forward contracts and options.
4. Layered hedging strategies for volatile energy markets using triggers and stop losses in dynamic hedging decisions.
5. Risk Quantification (Tools) including VaR, TEVaR, CFaR, EaR.


Advance Energy Risk Calculations (KS202)

Value-at-risk or VaR has become the industry standard for measuring uncertainty. This course takes the participants from the basic statistics underlying value-at-risk to the most sophisticated techniques used by energy companies today. The focus is on how to make value-at-risk work in practice—how to design, implement and use scalable production value-at-risk measures on real trading floors. Real-world challenges are discussed relating to measurement and computation of energy related uncertainty and risk.

Learn These Keys to Success:

1. How VaR is calculated in practice.
2. How correlation and hedging work together to manage risk.
3. Why different calculation approaches are needed for different applications.
4. How the underlying statistics can make or break energy risk calculations.
5. How value and risk are related and how both are described by probability distributions.


Real-Option Valuation of Energy Assets and Structured Contracts (KS401)

Using the proper analysis technique can have a serious bottom line impact when valuing a large multi-million dollar asset. This one-day program is designed to provide an understanding of the various approaches used to value energy and electricity assets as real options. Increase your firm's profits with proven practical techniques for:

Learn These Keys to Success:

1. Hourly, daily, and forward electric, gas and oil price strategies
2. Determining optimal spark spread boundaries; injection and withdraw storage schedules and transport loading
3. Measuring the hidden value in uncertainty and optionality.


Structured Contracts (KS402)

In today’s deregulated markets, properly structuring energy supply contracts can set you apart from the competition. From least cost supply to minimizing inherent and residual risks, structured contracts can deliver profits and lock in margin. In this course we take a look at the fundamental concepts, tools and best practices used by wholesale and retail natural gas and electricity structuring departments nationally. We demonstrate practical methods for cost discovery, price forecasting, hedging and risk management from the specific deal through the impact on the portfolio.
 
You Will Also Learn:

o       The link between physical assets, operational protocols and  financial commodity markets and the need for structured transactions

o       How to value renewable energy portfolios

o       The difference between intrinsic value and extrinsic value and how energy companies trade around assets

o       Measuring the risks of wholesale and retail supply contracts

o       How to hedge complicated transactions and lock in margin

  • Foundations of Structuring
  • Principles of Structuring Renewable Portfolios
  • Principles of Structures Electricity Contracts
  • Principles of Structured Natural Gas Contacts  

 

Understanding the Economics of Energy Efficiency and Demand Response Programs and Principles of Cost-Effective Program Design (KS501)


Designed for Utilities, Commissions and Energy Service Professionals, this hands on workshop will guide the participants through the overall “big picture” regulatory concerns of the demand side management (DSM) through the nuances of program design and valuation. Since the energy crises of the 1970’s Demand Side Management or DSM has been an important part of our national energy strategy. Today as smart grid technologies enter the market, environmental issues become prominent and conservation technologies improve, energy efficiency and demand response programs are more than ever an integral part of future resource plans. But how do you know if the programs are economically viable?

In this course, we explore how and where EE and DR value arose historically, review how state and regulatory policy shape that value, consider the process by which programs are developed and add value, and focus on modern methods and approaches that importantly shape EE and DR resource value. DSM entails actions that influence the quantity or patterns of use of energy consumed by end users and can take many forms. We examine the current strategies, enabling technologies and societal benefits of these and other programs, and demonstrate how utilities are using demand-side programs to deliver cost-effective energy solutions for future generations.

 
 

Classroom (In-Person): Fundamentals of Energy Statistical Analysis (KSCR101)


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.
 
 

Classroom (In-Person): Advanced Energy Asset Valuation Workshop (KSCR201)


Valuation of energy assets and structured energy contracts can be complex and challenging because they often have operational constraints and flexibilities that impact the cash flows produced by the asset or obligation. Energy asset valuation requires not only in-depth familiarity with energy industry operations, infrastructure, and markets, but also a sophisticated knowledge of finance techniques and the decision criteria of regulated and deregulated markets.

In this seminar we provide an in-depth overview of the economic principles of valuing physical and contractual assets in the electric, natural gas, and petroleum industries. Starting with a detailed knowledge of the business strategy, market structure and operational issues, we build the strategic business case for capital investment and project risk management.

We particularly focus on the financial tools used to evaluate the complex risks, operational flexibility, and options that are often associated with energy assets and structured products. Participants focus on the strengths of various financial modeling techniques, forecasting, and market analysis with a special focus on the principles of real options using traditional financial engineering methods.
 
 
Energy Efficiency and Demand Response: Valuation and Regulation (RS101)
In this course we explore the economic foundation for the justification of EE and DR programs, identify methods to estimate their value, review regulatory approaches to treatment of expenditures and incentives, discuss the process by which programs are developed, consider the relationship of energy efficiency programs to utility load forecast projections, and examine methods for evaluating the effectiveness of EE and DR programs. We discuss current strategies, enabling technologies, and societal benefits of these programs, and demonstrate how utilities are using EE and DR programs to deliver cost-effective energy solutions for future generations.