In-house one day seminar (anywhere in Europe)


A one day seminar just for your organization in the privacy of your own premises. All our own expenses included within Europe.

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The Seminar will cover Advanced Computational Techniques such as Data Mining, Artificial Intelligence Process Optimization using Genetic Algorithms and Expert Systems for process control

Data Mining Using Neural Networks

Data mining is an attempt to build a model of the brain using a computer program and “training” that model to recognize certain patterns in the data you have collected from your processes.

Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information i.e. information that can be used to improve industrial energy efficiency and / or improve production and product quality.

Data mining software is one of a number of advanced analytical tools for analyzing data. It allows users to analyze data from many different dimensions or angles, to categorize the data and summarize the relationships identified. Technically, data mining is the process of finding correlations or patterns among dozens of fields in large relational databases.

It’s the technology we’ve all been waiting for,  like the spreadsheet was back in the early 80’s. Just how could you live without spreadsheet today?

Process Control, Optimisation and Expert Systems

This topic combines the techniques of data mining using artificial neural networks, genetic algorithms, and knowledge-based expert systems to provide for better process control and optimization, in both advisory open loop format and closed loop automatic control.

Genetic algorithms are inspired by Darwin’s theory of evolution. They are computer programs that “evolve” ever better solutions to complex problems (especially problems that are intractable using other methods), such as process optimizations and cost minimization even with multiple constraints and limitations.

Expert systems are artificial intelligence applications that retain the knowledge of experts and can help in the control, monitoring and debugging of process operations.

Who Should Attend

The seminar is suitable for beginners in the area of data mining and other artificial intelligence techniques. The seminar will be of considerable interest to process engineers, energy managers and energy consultants including energy analysts and energy planners. Other organizations such as state energy authorities responsible for energy efficiency program development, energy research organizations and energy center personnel will find the seminar of interest as another approach to energy systems capacity building.

The seminar will explain of technologies involved in data mining and artificial intelligence as applied to energy and related fields. The Seminar will be explained in simple terms well within the knowledge domain of engineers and others operating in the energy sphere.

The tools available in these areas have developed over the years to be much more user-friendly and intuitive and many such tools are now available to operate in environments familiar to engineers – such as excel. They are in essence another tool for engineers to use.

The Seminar Presenter

Gerard McNulty B.A,.B.A.I., F.I.E.I International Sustainable Energy Expert, holds an honors degree in Engineering Science and a degree in Mathematical and Computer Sciences from Trinity College Dublin. He is a Chartered Engineer and 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 all sectors of industry.  Gerard has given talks on the topics of artificial intelligence, data mining and energy efficiency in the industrial sector since 1997, in diverse places such as for example in Ireland, Russia, Kazakhstan, Uzbekistan, Bahamas.

Gerard is also the inventor of an intelligent agent-based system that uses artificial intelligent systems for control of 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%.

Gerard has worked in many countries on various international assignments with donor organizations such as The World Bank, European Bank for Development and Reconstruction (EBRD), The Asian Development Bank (ADB) and as a specialist Thematic Expert on EU energy research projects associated with the 4th, 5th, and 6th Energy Research Programs. He has also worked as an Energy Expert associated with the Eurostars EU energy program and the Marie Curie Post Fellowship Awards Program.

Savings Potential Typically Identified In Industry Using Data Mining And Artificial Intelligence

  • Low-cost savings with payback periods less than 1 year – between 3%-5%
  • Medium-cost savings with payback periods less than 2 years – between 5%-10%
  • Higher-cost savings with payback periods less than 3 years – between 10%-20%

We have accumulated over 20 man-years of experience in the industrial sector in all aspects and applications of data mining and artificial Intelligence (AI) techniques.

Objectives Of The Seminar Include The Following

  • Provide insights into the use of data mining techniques to uncover hidden patterns in energy usage when applied to large data sets. These insights will help process engineers and others identify the actions required to realize energy savings many of which may cost nothing or little to implement
  • Provide insights into using artificial intelligent techniques to optimize production related attributes such as increased production output, reduce process variability and hence reduce process specific energy usage in industries such as oil refining, metals including aluminum and steel, chemical, pharmaceutical, manufacturing, food and drinks and much more
  • Data mining and other optimization techniques can seem like very complex technologies, however the tools used today are far easier to use, more intuitive and do more of the hard work for you. Some software even comes as an Excel add-in allowing you to import your data as various familiar Excel file formats

Benefits Of Attending Our Seminar

Process Plant

  • Learn advanced data analysis to understand process and reduce process variability
  • Uncover the most critical variables affecting process operations
  • Identify low-cost energy improvement measures
  • Optimise production systems to minimise costs
  • Using AI techniques and expert systems to provide for advanced control to reduce process variability and hence improve product quality
  • Learn how data mining can be used for deploying a predictive maintenance system strategy

Combined Heat and Power Systems

  • Understand production, equipment, environmental and contractual constraints
  • Produce heat and power cost effectively
  • Discover key operational variables that need maintenance more oversight
  • Learn now neural networks can be used to model CHP systems and provide what-if query ability for improved approach

Energy Saving Validation

  • Use data mining techniques for validation of energy savings before and after improvement

Renewable Energy Systems

  • Learn how wind and solar form designers can optimisation the design and the operations of their windmills using naturally inspired algorithms and generation output forecasting
  • Learn how conditioning monitoring using intelligence systems can reduce downtime and increase output of wind turbines systems

Electric Power Supply and Utility Sector

  • Energy demand and predictive applications with artificial intelligence systems
  • Smart meters and data mining for discovery of customer usage characteristics


8.30 am – 9 am Registration and coffee

Morning session – Artificial intelligence and energy savings in the industrial, power/electric utility and renewable energy sectors.

9.00 am – 10.00 am – Introduction and overview of topics below

  • Introduction to seminar and history of data in the decision-making process
  • Overview of industry 4.0 opportunities and its implications for the industrial sector
  • An Introduction to Data Mini­ng and Artificial Intelligence

10.00 am – 11.15 am – Intelligent systems overview

  • Expert systems for capturing process knowledge and for control of various processes
  • Advanced controls using artificial intelligence techniques

11.15 am – 11.35 am – Coffee break

11.35 am – 1.00 pm – Data mining in practice

  • Data Mining and techniques
  • Neural networks
  • Crisp data mining standard

1:00 pm – 2:00 pm – Lunch break

Afternoon session

2.00 pm – 3:00 pm – Overview of data mining opportunities in the industrial manufacturing, utility and renewable energy sectors

  • A review of naturally inspired algorithms for optimisation – How we can learn from the bird,  bees, ants, termites and even the invasive weed to help solve complex optimisation problems associated with energy systems
  • Data mining for energy savings in the industrial manufacturing sectors
  • Data mining and smart metering in the electric power supply utility business sector
  • The use of artificial intelligence techniques in the wind and solar power sector

3:00 pm – 3:45 pm – Data mining and Artificial Intelligence Application opportunities in industrial utility and energy generation systems including the following:

  • HVAC systems
  • Boiler plant optimisation
  • Refrigeration systems
  • CHP plant optimisation
  • Anaerobic digestion systems

3:45 pm – 4.00 pm – Coffee break

4.00 pm – 4.45 pm – Intelligent energy management systems

  • The intelligent approach to energy savings and energy management
  • Assessing potential and benefits for the implementation of artificial intelligent techniques in a range of industrial processes and utility systems

4:45 pm – 5.00 pm

Discussion and closing remarks