Financial Modeling for Energy in Excel

Financial Modeling for Energy in Excel

January 18-19, 2024 | Online :: Central Time

“This is an excellent training, the materials being put together is valuable for beginners who wants to dive into the energy markets. Using excel to model it makes it clear to see how the computation is done, in a simple and clean way.” Software Development Manager, Power Costs, Inc.

“The course really opened my knowledge on new ways of using spreadsheets.” Analyst, Brookfield Renewable

“Excellent training for anyone new to financial modeling for the energy sector. The presenter starts with foundational concepts and builds upon that foundation. The Excel exercises are particularly helpful and provide great templates for anyone looking to learn some basic modeling techniques.” Accounting Manager, Glidepath Power Solutions LLC

“Great courses and excellent instruction.  Highly recommend!!” Risk Consultant, APS

There are few tools that are simpler and more versatile than Excel when it comes to business analysis and financial modeling. The Financial Modeling for Energy in Excel course will teach attendees how to leverage Excel to do both basic and intermediate financial calculations, with a focus on the Energy Sector. Along with key functions and features, students will learn best practices for the layout of inputs and the visualization of your outputs for various financial functions.

The course covers crucial topics including operational function and analysis, financial mechanics, and valuation metrics. Financial Modeling for Energy in Excel will teach the skills needed to calculate and analyze financial models for the energy sector effectively and efficiently.

Learning Outcomes

  • Review the principles of intuitive model creation
  • Build simple models with clean data, inputs, and outputs
  • Use built-in Excel functions to perform common financial calculations
  • Engage pivot tables to manipulate data
  • Employ lookup functions
  • Create intuitive visualizations for your data and model outputs
  • Use Excel to do intermediate level valuations such as Internal Rate of Return and Discounted Cash Flow analysis
  • Discuss option principles and walk-through pricing examples
  • Evaluate aggregate positions and mark-to-market value in a portfolio of energy contracts
  • Create demand forecasting models using the linear regression capabilities of Excel
  • Evaluate market risk in a project or portfolio


Thursday, January 18, 2024 : Central Time

12:45 – 1:00 p.m.
Log In

1:00 – 4:00 p.m.
Day 1 Timing


Short breaks will be taken throughout the course (15 minutes total)

Financial Modeling Course Introduction


Introduction to Excel

  • Model Principles
  • Formatting Inputs and Outputs for Intuitive Use
  • Basic Formulas for Finance
  • Placement of Data and Lookups
  • Pivot Tables
  • Visualizing your Data

Afternoon Break

Introduction to Excel and Financial Modeling, Project Valuation

  • Valuation Metrics
  • Discount Factors, Weighted Average Cost of Capital (WACC)
  • Internal Rate of Return
  • Discounted Cash Flow Analysis


Friday, January 19, 2024 : Central Time

8:45 – 9:00 a.m.
Log In

12:00 – 12:30 p.m.
Lunch Break

9:00 a.m. – 4:00 p.m.
Day 2 Timing

Short Breaks will be taken throughout the day (30 minutes total)

Introduction to Financial Modeling for Energy, Energy Derivatives

  • Energy Swaps and Futures
  • Spread Contracts
  • Options Contracts
  • Option Pricing Formulas

Morning Break

Introduction to Financial Modeling, Portfolio Valuation

  • Aggregating Positions
  • Connecting to Market Data
  • Position and MTM Reporting

Lunch Break

Introduction to Financial Modeling, Demand Forecasting

  • Historical analysis and seasonality
  • Scatter plots and trend lines
  • Linear regression
  • Multiple regression

Afternoon Break

Introduction to Financial Modeling, Risk Management

  • Scenario Testing
  • Value at Risk
  • Monte Carlo Simulation


Stephen Naehr, Commodities Trading Risk Management Specialist, Morgan Stanley

Stephen is a specialist in financial modeling, analytics, and energy risk management, with over 18 years of experience at commodity hedge funds, global investment banks, and consulting for companies both in and out of the energy industry. He currently works in commodities trading risk management at Morgan Stanley.

Stephen has a passion for developing innovative mathematical models to solve challenging problems. As a physics Ph.D., he built computational models to simulate space weather phenomena. Today he develops financial modeling tools to understand markets, risk, and valuation.

Stephen serves as a board advisor to the Association of Industry Analytics, a non-profit organization that fosters professional development and networking opportunities among analysts and data scientists in various industries. Through his work with AIA he has led workshops and lectures on topics including financial modeling, risk management, and database applications.

Online Delivery

We will be using Microsoft Teams to facilitate your participation in the upcoming event. You do not need to have an existing Teams account in order to participate in the broadcast – the course will play in your browser and you will have the option of using a microphone to speak with the room and ask questions, or type any questions in via the chat window and our on-site representative will relay your question to the instructor.

  • Microsoft recommends downloading and installing the Teams app if possible. You may also use the Edge browser or Chrome.
  • You will receive a separate email with a unique link to a personalized landing page which will include links to join all sessions of this event.
  • If you are using a microphone, please ensure that it is muted until such time as you need to ask a question.
  • The remote meeting connection will be open approximately 30 minutes before the start of the course. We encourage you to connect as early as possible in case you experience any unforeseen problems.


Please Note: This event is being conducted entirely online. All attendees will connect and attend from their computer, one connection per purchase. For details please see our FAQ

If you are unable to attend at the scheduled date and time, we make recordings available to all attendees for 7 days after the event


Financial Modeling for Energy in Excel

January 18-19, 2024 | Online
Individual attendee(s) - $ 1195.00 each

Volume pricing also available

Individual attendee tickets can be mixed with ticket packs for complete flexibility

Pack of 5 attendees - $ 4,780.00 (20% discount)
Pack of 10 attendees - $ 8,365.00 (30% discount)
Pack of 20 attendees - $ 14,340.00 (40% discount)

Your registration may be transferred to a member of your organization up to 24 hours in advance of the event. Cancellations must be received on or before December 15, 2023 in order to be refunded and will be subject to a US $195.00 processing fee per registrant. No refunds will be made after this date. Cancellations received after this date will create a credit of the tuition (less processing fee) good toward any other EUCI event. This credit will be good for six months from the cancellation date. In the event of non-attendance, all registration fees will be forfeited. In case of conference cancellation, EUCIs liability is limited to refund of the event registration fee only. For more information regarding administrative policies, such as complaints and refunds, please contact our offices at 303-770-8800




EUCI is accredited by the International Accreditors for Continuing Education and Training (IACET) and offers IACET CEUs for its learning events that comply with the ANSI/IACET Continuing Education and Training Standard. IACET is recognized internationally as a standard development organization and accrediting body that promotes quality of continuing education and training.

EUCI is authorized by IACET to offer 0.9 CEUs for this event.

Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.


Requirements for Successful Completion of Program

Participants must be logged on and in attendance for the entirety of the course

Instructional Methods

Power Point presentations, open discussion, examples and explanation will be used

Upon successful completion of this event, program participants interested in receiving CPE credits will receive a certificate of completion.

Course CPE Credits: 11.0
There is no prerequisite for this Course.
Program field of study: Specialized Knowledge
Program Level: Basic
Delivery Method: Group Internet Based
Advanced Preparation: None

CpeEUCI is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its web site:


Who Should Attend

  • Utility Capital Planners
  • Project Managers
  • Financial Reporting Analysts
  • Accountants
  • Budget Analysts
  • Other employees of utilities looking to gain more of a finance education for utilities (e.g., finance support staff in IT, long-term planning, or elsewhere)
  • Consultants in the utility industry looking to broaden their finance knowledge