REF: Artificial Intelligence in the industrial and energy sectors -Hidden in your energy usage data are a goldmine of energy-saving opportunities.[/b]
After the success of our last seminar on artificial intelligence, we are holding another seminar on Friday 9th November 2018 in Dublin at the Clayton Hotel near Dublin Airport, Ireland.
Topic includes the use of data mining and artificial intelligence techniques for the identification of energy savings, for optimising process design and operation in the industrial and energy sectors. The seminar is held for one day from 9 am to 5 pm.
The website address for booking details is below (copy to browser)
Using artificial intelligent techniques in your industry will ensure your competitive survival in the near future.
The seminar will cover the technologies that will enable you to optimise all kinds of systems designs with hundreds of parameters and constraints-from industrial process system to wind-farms.
Data mining techniques allows you to discover useful knowledge from the huge volumes of data that are presently stored away and sometimes never used effectively for the benefit of your business. This knowledge can often compliment your system designs by using real input/output response data that is presently collected by your SCADA systems.
Forbes magazine report that using artificial intelligent techniques in industry will increase productivity by 40% by year 2035.
The AI software tools have improved over the last 20 years and are now much more user-friendly and intuitive to use and many such tools are now available that operative in friendly environments familiar to engineers – such as MS Excel.
No prior knowledge of data mining or artificial intelligence is required to attend the seminar as all will be revealed on the day.
At the seminar, you will see the full power of these techniques and many have asked why they did not hear of these systems before. The cost of the day including dinner and coffee breaks is just €250. During the day you will learn how to:
1. Discover patterns in your energy data that will allow for greater energy savings and also provide a better understanding of process problems to allow for reducing process variability - the root cause of poor product quality
2. Uncover the most critical variables affecting process operations – ideal for process engineers attempting to optimise industrial and renewable energy processes to reducing capital and running costs or optimise output.
3. Identify low-cost energy improvement measures
4. Learn about intelligent controls that allow for continuous loop turning and also apply dynamic control
5. Optimise processes such as renewable energy systems and predict next days output.
6. How expert systems can be used to provide for advanced control and therefore reduce process related disturbances that may lead to poor quality and reduced output.
7. Learn how data mining can be used for deploying a predictive maintenance system strategy through intelligent condition monitoring systems
8. How neural networks can be used to identify and quantify energy savings in heat and power plant
9. Learn about the intelligent energy management
10. Learn how we can learn from the bird and the bees, ants and termites, and even the invasive weed to help solve complex optimisation in renewable energy systems, process plant design and many more systems that are presently impossible to fully optimise.
