Data Mining and Artificial Intelligence for Energy Sector
About Course
Course Overview
This Data Mining and Artificial Intelligence for Energy Sector 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 to saving of energy, which will lead to saving money and sustaining and upgrading 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 virtual twins of the energy and industry systems helps the entities and communities achievea 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 trillions of dollars for the energy industry, therefore, Industry 4.0 and its energy production and consumption requirements are at the doorstep, and this Energy Training Centre training course is designed to help you not to be late onboard.
The objective of this Data Mining and Artificial Intelligence for Energy Sector 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 Regewall Training Institute training course, the participants 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
This training course will utilize a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. It includes a theoretical presentation of the concepts, but the emphasis will be on the exercises performed by the delegates with the guidance of the instructor.
The participants will be “learning by doing” as the 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, and interactive seminars, as well as group discussion on the results of the exercises.
The energy consumption has increased multi-fold, and it continues to be one of the most important, if not the most important, issues in the modern world. The modern world simply cannot function without energy, and waste or shortages of energy create enormous damage and great disturbances. Energy saving and optimization art is therefore paramount for the success of any industry, organization or enterprise, and as a result of sending their employees on this training course, organizations can expect to benefit from:
- Acquiring employees who understand the importance of optimization
- The knowledge of how to create digital twins of the unit, company, or system
- Identify the optimization opportunities
- Understand the use of Artificial Intelligence and Simulation in energy and industry
- Learn the data mining techniques
The participants will learn how to perform data mining, identification of algorithms used in Artificial Intelligence which are beneficial for their respective industries, proper use of the technology; specifically, delegates will acquire:
- The structured way of data mining in their respective industries
- Knowledge on how to differentiate good data from the noise and biased data
- The understanding of how to find hidden patterns within the data
- Step-by-step process of digital twins’ creation
- How to avoid the common pitfalls of Industry 4.0
This Data Mining and Artificial Intelligence for RTI course is suitable for 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, and Production
- Project Managers
- Anyone interested in optimization and energy consumption reduction
DAY ONE: DATA MINING AND PATTERN RECOGNITION
- Data Mining Process
- Data Preparation
- Association and Pattern Recognition
- Data Mining in Energy Industry
- Data Mining-clusters and Outliers
DAY TWO: ARTIFICIAL INTELLIGENCE ALGORITHMS
- Artificial Intelligence Development
- Linear Regression
- Logistic Regression
- Decision Tree
- Support Vector Machine
- Other Algorithms Applied in Artificial Intelligence (AI)
DAY THREE: ENERGY DISTRIBUTION PLANNING AND OPTIMIZATION
- Energy Storage Planning
- Managing Incidents and Instrument Failures
- Energy Grid Management
- Energy Consumption Forecasting
DAY FOUR: DEVELOPING DIGITAL TWINS
- 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 FIVE: SIMULATION, MACHINE LEARNING, AND SMART CONTRACTS
- Dynamic Simulation of Industry Systems
- Simulation of the Unit Commitment Problem
- Machine Learning for Renewable Energy
- Forecasting Renewable Energy Generation
- Smart Contracts within the Energy Industry