Course Schedules

Classroom 6 Sessions
Online / Live
Live

Introduction

Effective Financial Modelling in the Power Industry Training Course provides a practical and structured approach to developing financial models for energy projects and decision-making. Financial Modelling in the Power Industry Training Course content focuses on applying real-world case studies to strengthen financial analysis, improve cost control, and support strategic planning.

Participants will explore how financial models are used to evaluate performance, forecast key variables such as energy prices and interest rates, and assess project viability. The course emphasizes the use of tools like Excel for building models that reflect real operational and financial scenarios.

This training course also highlights risk management techniques, including sensitivity and scenario analysis, to simulate market changes and uncertainties. By combining financial theory with hands-on practice, participants will gain the ability to develop accurate financial models that enhance decision-making, reduce risks, and improve overall financial performance in the power industry.

What are the Goals?

Financial Modelling in the Power Industry Training Course aims to strengthen financial analysis skills and improve decision-making through practical modelling techniques. It equips participants with the ability to build, evaluate, and apply financial models in energy-related projects.

By the end of this training course, participants will be able to:

  • Develop financial models tailored to power industry projects and operations
  • Apply financial analysis tools and techniques using Excel and other methods
  • Forecast key financial variables such as energy prices, interest rates, and exchange rates
  • Evaluate project performance using financial metrics such as NPV and IRR
  • Conduct sensitivity and scenario analysis to assess financial risks
  • Manage financial uncertainty and model risk factors effectively
  • Support decision-making processes with data-driven financial insights

Who is this Training Course for?

Effective Financial Modelling in the Power Industry Training Course is designed for professionals involved in financial planning, analysis, and decision-making within the energy sector. It supports individuals seeking to enhance their financial modelling capabilities and apply them in practical business scenarios.

This training course will greatly benefit:

  • Professionals seeking to improve their understanding of finance in the power industry
  • Individuals responsible for developing and using financial models
  • Decision-makers who rely on financial data for strategic planning
  • Finance professionals managing budgets, costs, and project performance
  • Project managers involved in energy-related investments and operations
  • Professionals monitoring or evaluating power and energy projects

How will this Training Course be Presented?

Financial Modelling in the Power Industry Training Course uses a highly practical and interactive learning approach to ensure effective skill development. Participants will work on laptops throughout the training course, applying financial modelling techniques using Excel and modern analytical tools.

The course includes real-world case studies, exercises, and simulations that reflect actual challenges in the power industry. Instructor-led sessions are combined with group discussions to explain financial concepts and modelling techniques in a clear and practical way.

Participants are encouraged to bring real business scenarios into the training, allowing direct application of learning to their work environment. This hands-on approach ensures participants gain practical experience in building financial models, analyzing data, and making informed financial decisions.

Course Content

Day 1

Financial Modeling in the Power Industry

  • The Role of Financial Modelling in the Power Industry
  • Developing a Financial Model
  • Estimating Costs using Financial Models
  • Forecasting Energy Prices; Exchange Rates and Interest Rates
  • Forecasting using Statistical Methods in Excel – Time Series Analysis, Exponential Smoothing, Correlation & Regression Analysis
  • Preparing the Cash Flow Forecast; Income Statement, Balance Sheet (Statement of Financial Position)
Day 2

Financial Models to Improve the Performance of Energy Projects

  • Estimating Activity Cost & Duration
  • Minimizing Downtime and Faults
  • Critical Path Analysis/GANTT Charts – Financial & Manpower implications
  • Earned Value Analysis- to identify Project Cost and Schedule Variances
  • Simulating changes in the project
  • Variance Analysis
Day 3

Financial Models to Evaluate Growth Opportunities in the Power Industry

  • Models to simulate growth strategies
  • Modelling Finance Decisions – Equity or Debt and the Cost of Capital
  • Capital Investment Decisions – Payback, ARR, NPV& IRR using Excel
  • Examining the Impact on Working Capital
  • Purchase Decisions
  • Mergers & Acquisitions – Modelling the impact on Share Price, Market Value, Earnings & EPS
Day 4

Models to Manage Financial Risks & Uncertainties

  • Identifying & Managing Financial Risks in the Power Industry
  • Modelling Risk & Uncertainty
  • Simulating changes to Costs & Accounts Payable
  • Simulating changes to Sales Volume, Energy Price & Accounts Receivables
  • Break Even Analysis
  • Using Derivatives to Managing Energy Prices Volatility, Interest Rates & Exchange Rates
Day 5

Evaluating Financial Performance using Financial Models

  • Cross Sectional & Time Series Models of Analysis
  • Financial Ratio Analysis
  • Benchmarking Performance
  • Evaluating Return on Capital Employed
  • Maximising Shareholder Wealth
  • Modelling Decision making to Improve Performance

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
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