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A 3-Day Course on the Applications of Artificial Intelligence Techniques for the Identification and Implementation of energy and process savings in the Industrial and Power Sectors

We offer a three-day course that will provide the participants with essential knowledge and skills to plan for the integration of advanced energy savings solutions in your industry. With this knowledge will learn how to uncover hidden energy savings patterns associated with your processes and utility systems. You will also learn how to use artificial intelligence algorithms, which will help to optimize production processes and utility systems and obtain better process control, reducing excursions and overshoots from the set points the root can of poor product quality.  

Course highlights

  1. The techniques that will allow you to assess your overall process energy performance
  2. Advances in industrial process systems for greater energy savings
  3. How artificial intelligence techniques can be used to uncover previously hidden energy savings and provide for intelligent control and optimization
  4. Use artificial intelligence techniques such as data mining to uncover the most critical variables affecting process operations – ideal for process engineers attempting to optimize industrial and renewable energy processes to reduce capital and running costs
  5. How we can learn from the bird and the bees, ants and termites, and even the invasive weed to help solve complex process optimization problems in energy systems
  6. How intelligent energy management system will ensure the sustainability of energy savings and help solve the problems and time delays in reporting these problems that are associated with existing manual-only systems

At the end of the course, you will learn how to:

  1. Use data mining techniques to uncover hidden energy-saving potential in your existing processes’ data relating to past performance 
  2. Integrate energy efficiency into new process and manufacturing plant design
  3. Understand the potential role of artificial intelligence in energy efficiency and optimization
  4. Introduce effective energy management procedures using existing protocols and data analysis techniques
  5. Incorporate energy efficiency design into new process and utility systems
  6. Incorporate renewable energy opportunities in key industrial processes and utility systems

Training methodology

The presenter will use detailed presentations based on personal experience to ensure maximum understanding, comprehension, and retention of the information presented.

Demonstration in real-time the various artificial intelligence techniques that can be used by engineers to uncover and analyze energy savings and process optimization opportunities 

Organizational Impact

Participants of this course will be provided with advanced knowledge, skills and tools to introduce more effective energy-saving solutions to their industry. The methods include:

  1. Use of advanced process solutions based on process optimization and process substitution
  2. Use of Benchmarking and data analysis to determine your industry’s current baseline and potential for future energy savings
  3. How to complement your existing and new knowledge with artificial intelligence techniques to provide for greater energy savings and other process savings
  4. How artificial intelligence techniques can enhance existing energy management protocols
  5. How artificial intelligence techniques can provide for improved energy savings verification where existing techniques may fail

Personal impact

  1. The participant will gain a good understanding of best practices in process energy savings and key optimization techniques and their applications in their industrial and energy sector in general.
  2. Knowledge of artificially intelligent applications will provide the participant with a distinct advantage and this differentiation will help provide a competitive edge for internal promotion
  3. The participant will have greater confidence and competence in his own work

A course for a wide range of professionals but will greatly benefit

  • Process and Plant Engineers
  • Energy and Facility Managers
  • Process Design Engineers
  • Factory Manager, CEO, CTO
  • Utility company Engineers
  • Power Plant Engineers
  • Renewable Energy Engineers
  • Equipment Designers and Suppliers
  • Energy Centre Managers and Engineers
  • Government Energy Efficiency Programme Manager
  • Energy Consultants

Speaker Profile

Mr. Gerard McNulty, BA.BAI (Hons) Engineering Science Trinity College Dublin

  • Over 20 years of experience as an International Energy Expert
  • Over 18 years of experience in the electricity sector including power plant design and demand-side management 
  • Over 25 years of experience in Artificial Intelligence applications in the industrial and power sectors
  • 20 years of experience as a Thematic Energy Expert in EU research project evaluations on the 4th, 5th and 6th framework program and a thematic energy expert for the Euro-stars program and energy research projects such as high and low-temperature heat recovery systems, innovative renewable energy systems such as solar, wind and heat pump technology, materials and fluid mechanics. and the Marie Curie Post “Fellowship Awards Program”
  • He is a Chartered Engineer a Fellow of the Institute of Engineers of Ireland and an International Energy expert with 36 years of experience in industrial energy auditing covering hundreds of energy audits in various industry sectors worldwide. 
  • He specializes in energy efficiency in the industrial and power sectors and energy sectors by using a combination of advanced process solutions, artificial intelligence and cutting-edge technologies to identify and integrate energy solutions into existing and newly built industrial processing and manufacturing plants.
  • Gerard has given talks on the topics of artificial intelligence, data mining and energy efficiency since 1997, including places Ireland, Bahrain, United Kingdom, Italy, Bahamas, Russia, Ukraine, Bulgaria, Kazakhstan, Uzbekistan, Vietnam, Ethiopia, Malawi, and Gambia to list a few.
  • Gerard is also the pioneer and inventor of an artificial intelligent agent-based system that uses artificial intelligent systems to control HVAC systems in large buildings. This system has been applied to buildings in Ireland and the UK and has provided an average saving of 20%. 

Course Agenda

Day 1- Introduction to Artificial Intelligence in the Electricity Sector

  • Introduction to Artificial Intelligence and its development path 
  • What are the present and future challenges facing industry and the energy sector and how Artificial Intelligence and its various applications are helping and can help companies’ world navigate these challenges
  • Industry 4.1 and its relevance in artificial intelligence and energy savings
  • Examples of intelligent energy initiatives in the industrial and power sectors
  • Learning Useful Information from Data
  • Expert Systems and Intelligent Controls

Day 2– Data Mining and Artificial Intelligence in the Energy and Electricity Sector

  • Data Mining vs. Statistical Analysis what is the difference and when to use either one
  • The Crisp data mining methodology 
  • Artificial Neural Networks (ANN) and their uses in the energy and electricity sectors
  • Data Mining Processes and Models
  • Examples of savings potential in energy processes associated with the power sector
  • Looking for useful patterns in large datasets for fault diagnostic and energy savings
  • The difference between a conventional energy management system and an intelligent energy management system
  • Smart Buildings and Smart Cities: how Artificial Intelligence can help optimize energy consumption

Day 3 – The uses of Artificial Intelligence to provide for better controls and decision making 

  • How Artificial Intelligence can help obtain optimum solutions for improved control 
  • Predictive Maintenance using Artificial Intelligence
  • Reinforcement Learning and its applications in energy management
  • Application of artificial intelligence for process fault prediction and optimization in the 
  • Introduction to Intelligent Expert Systems
  • Energy Storage and its role in the energy sector
  • Intelligent Energy Gap Analysis
  • Examples of spreadsheet-based Artificial Intelligence software based on MS Excel spreadsheets and freeware with references suitable for engineers with no coding requirements
  • Other Artificial Intelligence freeware suitable for engineers with no coding requirements

Certificate of Completion

A course completion certificate will be awarded at the end of the course to those who have completed the three days in full.

Interested in taking the course?

Please send an email to us at and