Digital Energy and Optimization

Digital Energy and Optimization

Data Mining and Artificial Intelligence for Energy Savings,
Process Optimization in Industrial and Energy Sector

(36)
KHDA NASBA
Course Schedule
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Training course in Digital Energy and Optimization in 03-07 Nov 2025 - Online
03-07 Nov 2025
Online
$3,950
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Register
Training course in Digital Energy and Optimization in 03-07 Nov 2025 - Dubai
03-07 Nov 2025
Dubai
$5,950
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Register
Training course in Digital Energy and Optimization in 20-24 Apr 2026 - London
20-24 Apr 2026
London
$5,950
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Register
Training course in Digital Energy and Optimization in 18-22 May 2026 - Online
18-22 May 2026
Online
$3,950
Register
Register
Training course in Digital Energy and Optimization in 22-26 Jun 2026 - Dubai
22-26 Jun 2026
Dubai
$5,950
Register
Register
Training course in Digital Energy and Optimization in 10-14 Aug 2026 - Dubai
10-14 Aug 2026
Dubai
$5,950
Register
Register
Training course in Digital Energy and Optimization in 02-06 Nov 2026 - Dubai
02-06 Nov 2026
Dubai
$5,950
Register
Register
Training course in Digital Energy and Optimization in 02-06 Nov 2026 - Online
02-06 Nov 2026
Online
$3,950
Register

Course Overview

This GLOMACS Digital Energy and Optimization training course is designed for professionals and companies that want to utilize predictive and prescriptive analytics and software for energy production, storage, distribution and overall optimization of the energy system as a whole. By 2050 the world will need to provide 30% more energy than it produces now, and the network level optimization is the key for the saving of energy, which will lead to save money and sustain and upgrade customer and stakeholder satisfaction. Incredible as it may seem but the world could save almost 20% of energy if it would just improve its consumption, by delivering energy only when and where it is required, the prediction of the energy use patterns with the use of Big Data, Data Mining and Artificial Intelligence (AI) should provide the answer to the questions of energy saving and optimization of energy resources use.

By using AI and digitization methods creating of the virtual twins of the energy and industry systems help the entities and communities achieve high level of energy savings as well as high optimization of industry processes, as they provide the possibilities of experimentation, innovation, simulation and forecasting. The digital energy transformation is expected to generate trillion of dollars for the energy industry, therefore Industry 4.0 and its energy production and consumption requirements are at the doorstep, and this training course is designed to help you not to be late onboard.

This training course will feature:

  • Data Mining techniques and principles
  • Artificial Intelligence algorithms and models
  • Neural networks
  • Simulation and creation of digital twins
  • Use of Data Mining and Artificial Intelligence for Energy Preservation and Optimization

What are the Goals?

The objective of this training course is to prepare the delegates for the digital world and the requirements of Industry 4.0 as it is becoming present in all the sectors and shows special opportunities in the area of energy preservation and optimization.

At the end of this training course, you will learn to:

  • Apply the data mining methodology for energy usage patterns
  • Effectively utilize Artificial Intelligence algorithms for real-time optimization
  • Identify key areas where the Data Mining and Artificial Intelligence can be utilized
  • Understand the benefits through the example cases
  • Use Data Mining and Artificial Intelligence methods for optimization of spinning reserves

Who is this Training Course for?

This GLOMACS training course is suitable to a wide range of professionals but will greatly benefit:

  • Professionals who wants to learn techniques of Data Mining and Artificial Intelligence
  • Team Leaders, Supervisors, Section Heads and Managers
  • Professionals who have an interest in Data Science
  • Technical Professionals including those in Maintenance, Engineering & Production
  • Project Managers
  • Anyone interested in optimization and energy consumption reduction

How will this Training Course be Presented?

This training course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes theoretical presentation of the concepts, but the emphasis will be on the exercises performed by the delegates with the guidance of the instructor.

The delegates will be “learning by doing” as the training course is designed around the project of designing a novel product for the digital world. Delivery will be by presentation, group syndicate exercises, training e-manual, as well as group discussion on the results of the exercises.

Course Outline

Day 1
  • Data Mining Process
  • Data Preparation
  • Association and Pattern Recognition
  • Data Mining in Energy Industry
  • Data Mining-clusters and Outliers
Day 2
  • Artificial Intelligence Development
  • Linear Regression
  • Logistic Regression
  • Decision Tree
  • Support Vector Machine
  • Other Algorithms Applied in Artificial Intelligence (AI)
Day 3
  • Energy Storage Planning
  • Managing Incidents and Instrument Failures
  • Energy Grid Management
  • Energy Consumption Forecasting
Day 4
  • Digitization of Industry and Energy
  • Optimal Power Flow Problem Formulation
  • Neural Network Application to Optimal Power Flow
  • Particle Swarm Optimization for Optimal Power Flow
  • Total Transfer Capability Enhancement by Evolutionary Algorithm
Day 5
  • Dynamic Simulation of Industry Systems
  • Simulation of Unit Commitment Problem
  • Machine Learning for Renewable Energy
  • Forecasting Renewable Energy Generation
  • Smart Contracts within the Energy Industry

Accreditation

KHDA

GLOMACS is registered with NASBA as a sponsor of Continuing Professional Education (CPE) on the National Registry of CPE Sponsors. NASBA 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 website: www.learningmarket.org.

All Training Seminars delivered by GLOMACS by default are eligible for CPE Credit.

Would you like to take this course as a team?
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Frequently Asked Questions

AI Academy offers a wide range of specialized training courses focused on Artificial Intelligence and emerging technologies. Our courses cover areas such as Machine Learning, Data Science, AI in Business Strategy, Digital Transformation, and Automation, designed to help professionals enhance their technical and strategic capabilities.

Our courses are open to professionals at all career levels — from beginners seeking to understand AI fundamentals to senior executives aiming to integrate AI into organizational strategy. Each course clearly outlines the ideal participant profile to help you choose the best fit for your goals.

You can easily register through our website by selecting your preferred course and completing the online registration form. Once your registration is confirmed, you’ll receive a confirmation email with course details, venue or online access information, and next steps.

Yes. AI Academy offers both online and classroom-based courses to provide flexibility and convenience. The mode of delivery depends on the specific course and its learning objectives, ensuring participants receive an engaging and effective learning experience.

Yes. Upon successful completion of any AI Academy training course, participants receive an official Certificate of Completion, recognizing their professional development and newly acquired AI competencies.

Each course description on our website includes detailed information about the learning outcomes, target audience, and objectives. You can also contact our support team for personalized guidance on selecting a course that aligns with your experience level and career ambitions.

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