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AI and Digital Tools in Power Project Financial Analytics

CODE: PE27 

DURATION: 5 Days/10 Days

CERTIFICATIONS: CPD

  • Modern facilities
  • Course materials and certificate
  • Accredited international trainers

5 Days

$6,500

10 Days

$11,700

Course Overview

This course provides an in-depth understanding of how AI and digital tools are reshaping financial analytics in the power sector. Participants will explore how digital transformation and AI technologies are integrated into financial modeling, cost optimization, and performance management across the lifecycle of power projects. The curriculum examines tools such as machine learning-based forecasting, real-time data visualization, digital twins, and automation for financial reporting and asset valuation. Through interactive sessions and simulation exercises, delegates will learn how to harness AI-driven insights for revenue forecasting, credit risk modeling, and investment optimization.

Course Delivery

This course is available in the following formats:

Virtual

Classroom

Request this course in a different delivery format.

Course Outcomes

Delegates will gain the knowledge and skills to:

Apply data-driven techniques to enhance forecasting accuracy and investment decisions.

Use AI tools for cost modeling, project valuation, and financial risk assessment.

Integrate digital dashboards and visualization tools for real-time financial performance monitoring.

Build predictive models for cash flow, tariff, and demand forecasting in power projects.

Implement AI-based algorithms for asset management and operational efficiency.

Develop strategies for digital transformation in financial management within power utilities and projects.

Key Course Highlights

At the end of this course, you’ll understand:

  • The evolution of financial analytics from spreadsheets to AI-driven, cloud-based systems.
  • How machine learning enhances revenue prediction, risk modeling, and credit assessment.
  • The role of automation in financial data collection, reporting, and reconciliation.
  • How digital dashboards enable real-time financial monitoring and decision support.
  • The concept of digital twins for financial scenario simulation in power projects.
  • Key AI tools and platforms (Python, Power BI, Tableau, TensorFlow, etc.) used for energy analytics.
  • How to design AI-driven models for cost optimization and capital allocation.
Who Should Attend

This course is designed for energy finance professionals, project analysts, investment managers, data scientists, engineers, and decision-makers involved in the financial management of power sector projects. It is equally valuable for utility finance teams, infrastructure investment officers, digital transformation leads, and policymakers seeking to integrate AI and digital tools into financial analytics, performance optimization, and strategic planning in the energy industry.

Upcoming Course Dates

Delivery Format: Classroom & Virtual

Date: 26/01/2026

Location: Dubai

Delivery Format: Classroom & Virtual

Date: 13/04/2026

Location: London

Delivery Format: Classroom & Virtual

Date: 13/07/2026

Location: London

AI and Digital Tools in Power Project Financial Analytics

✓ Modern facilities

✓ Course materials and certificate

✓ Accredited international trainers

✓ Training materials and workbook

✓ Access to online resources

Your request has been sent the team will get back to you within 24 hours

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