Course Overview

Financial modelling plays a crucial role in evaluating investments, managing risk, and supporting strategic decision-making in the power and energy sector. Given the complexity of power projects, organisations require accurate, transparent, and well-structured financial models that integrate technical, operational, and financial data.

The Effective Financial Modelling in the Power Industry programme provides a hands-on approach to building and analysing financial models specifically tailored to energy projects. Over five intensive days, participants will learn how to construct integrated financial models, apply forecasting techniques, perform investment appraisal, and evaluate project performance under different scenarios.

The programme combines technical modelling expertise with strategic financial analysis, enabling participants to assess project feasibility, manage financial risks, and support long-term investment planning across both conventional and renewable energy projects.

Agenda

Day — 1 Fundamentals of Financial Modelling in the Power Industry

• Understanding the role and importance of financial modelling in power sector decision-making
• Exploring key components of a financial model and their integration across financial statements
• Analysing revenue models and financial structures of power projects
• Building a financial model from scratch:
  • Data gathering
  • Input structuring
  • Logical flow design
• Applying principles of transparency, accuracy, and auditability in modelling
• Exercise: Building a project cash flow model in Excel to forecast revenue, costs, and profitability for a sample power plant

Day — 2 Forecasting & Cost Estimation Techniques

• Estimating operational (OPEX) and capital (CAPEX) costs in power projects
• Forecasting key variables:
  • Energy prices
  • Exchange rates
  • Interest rates
• Applying predictive tools:
  • Time Series Analysis
  • Regression Models
• Developing financial projections for:
  • Income Statements
  • Balance Sheets
• Using sensitivity analysis to assess the impact of changes in model inputs
• Exercise: Forecasting electricity prices using regression analysis and integrating results into a financial model

Day — 3 Investment Decisions & Growth Modelling in the Power Industry

• Using financial models to evaluate and enhance project performance and profitability
• Linking financial and operational outcomes through project management tools:
  • Gantt Charts
  • Critical Path Analysis
  • Earned Value Analysis
• Applying variance analysis to identify cost and schedule deviations
• Simulating project performance under different operational conditions
• Conducting scenario and what-if analysis to assess project resilience
• Case study: Applying earned value analysis and performance modelling on a renewable energy project

Day — 4 Investment Decisions & Growth Modelling in the Power Industry

• Developing models to simulate growth and expansion strategies in power utilities
• Evaluating financing options and their impact on cost of capital and capital structure
• Applying capital budgeting techniques in Excel:
  • Payback Period
  • Accounting Rate of Return (ARR)
  • Net Present Value (NPV)
  • Internal Rate of Return (IRR)
• Analysing how investment decisions affect working capital, liquidity, and long-term solvency
• Modelling mergers and acquisitions (M&A) in the power sector
• Exercise: Building an NPV and IRR model to assess the viability of a solar power plant investment

Day — 5 Managing Risk & Evaluating Financial Performance

• Identifying key financial risks and uncertainties in the power and energy sector
• Applying Monte Carlo simulation and scenario analysis to model risk and uncertainty
• Using financial instruments to manage exposure:
  • Derivatives
  • Hedging Techniques
• Applying ratio analysis and benchmarking to evaluate financial performance
• Using advanced financial models to assess overall company performance
• Case study: Developing a risk-adjusted financial model for a diversified energy portfolio with hedging strategies and performance metrics

Learning Outcomes

After completing the Effective Financial Modelling in the Power Industry programme, you will be able to:

• Explain the structure and purpose of financial models used in the power sector
• Build integrated financial models in Excel combining assumptions, financial statements, and project data
• Apply forecasting and cost estimation techniques using statistical and regression methods
• Evaluate project performance using:
  • Earned Value Analysis
  • Critical Path Analysis
  • Scenario Testing
• Conduct capital budgeting and investment appraisal for project feasibility
• Model financial risks and uncertainties using simulations and hedging strategies
• Analyse financial performance using ratio and trend analysis to assess profitability and returns

Who Should Attend

This Effective Financial Modelling in the Power Industry programme is designed for professionals in the power and energy sector, including:

• Financial Analysts and Modelling Specialists
• Project Finance and Investment Professionals
• Energy Sector Managers and Planners
• Engineers involved in financial evaluation of projects
• Corporate Finance and Strategy Professionals
• Consultants supporting power and infrastructure projects