An intensive professional development training course on
Effective Financial Modelling in the Power Industry
Financial Modelling to Aid Decision Making
Why Choose Effective Financial Modelling in the Power Industry Training Course?
Financial Modelling in the Power Industry Training Course provides a structured and practical approach to financial modelling specifically tailored to the power and energy sectors. As the industry faces growing uncertainty driven by price volatility, shifting demand patterns, and evolving regulatory guidelines, the ability to build accurate financial models has become essential. This training course equips participants with the modelling techniques needed to support informed financial decisions, assess project feasibility, optimise performance, and manage financial risk effectively.
Through real-world case studies and hands-on modelling exercises, the Financial Modelling Training in the Power Industry enables participants to construct dynamic Excel-based models capable of analysing complex energy market variables. The course demonstrates how financial models can be applied across forecasting, cost estimation, project evaluation, and long-term planning, ensuring that every output directly supports strategic business outcomes.
Participants gain practical insights into scenario planning, sensitivity analysis, and risk modelling, developing the confidence to apply these tools to their own operations. By the end of the course, delegates will be equipped with fully functional models and a deeper understanding of the financial principles required to navigate today’s fast-changing power industry landscape.
What are the Goals?
This training course aims to provide participants with strong analytical capabilities and a robust understanding of financial modelling within the power sector. The focus remains on practical application, enabling participants to translate financial data into actionable insights and prepare models that reflect real operational and market conditions.
By the end of this Financial Modelling in the Power Industry Training Course, participants will be able to:
- Build structured, dynamic financial models tailored to energy-sector requirements
- Interpret financial data to support investment planning and operational decisions
- Apply scenario analysis, sensitivity analysis, and advanced Excel techniques
- Evaluate financial risks linked to cost changes, market shifts, and regulatory factors
- Assess project profitability using tools such as NPV, IRR, payback period and cash-flow forecasting
- Simulate growth strategies, working capital changes, and capital structure decisions
- Analyse financial performance through ratio analysis, benchmarking, and trend evaluation
Who is this Training Course for?
This Financial Modelling Training Course is designed for professionals across the power industry who require stronger financial analysis capabilities. It supports individuals responsible for forecasting, budgeting, project feasibility, and performance assessment within energy-related operations.
This course will greatly benefit:
- Professionals seeking to strengthen financial analysis skills within the power sector
- Individuals responsible for developing or reviewing financial models for energy projects
- Team leaders and supervisors guiding decisions based on financial insights
- Budgeting, forecasting, and planning personnel overseeing financial outcomes
- Project managers with financial oversight responsibilities
- Analysts and engineers transitioning into finance-related roles within the industry
How will this Training Course be Presented?
This Financial Modelling Training in the Power Industry uses a hands-on, tool-based learning approach to ensure participants gain direct modelling experience. Each session focuses on developing Excel models that reflect real scenarios encountered in the power sector, allowing delegates to immediately apply what they learn. The course combines expert-led instruction with practical exercises, guided demonstrations, and case-based discussions to reinforce both technical and analytical skills.
Training delivery includes:
- Step-by-step modelling exercises using Excel
- Case studies reflecting real power industry conditions
- Interactive discussions to enhance financial interpretation
- Scenario and sensitivity analysis workshops
- Practical assignments that reinforce learning through application
The Course Content
- 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)
- 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
- 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
- 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
- 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
Certificate and Accreditation
- AZTech Certificate of Completion for delegates who attend and complete the training course
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