Machine Learning and Data Management in the Power and Energy Industry

An Interactive 5 - Day Training Course

Machine Learning and Data Management in the Power and Energy Industry

Implementing AI for Power and Energy Systems

Classroom Dates
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05 - 09 Aug 2024
Dubai
$5,950
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Register
09 - 13 Dec 2024
London
$5,950
Register

This Machine Learning and Data Management in the Power and Energy Industry training course focuses on the energy systems of the future, the energy which is not viewed as a closed system, but as a set of interconnected systems which are using big data and artificial intelligence for sustainability and adaptability. The training course is focused on creation of energy industry ability to adapt to ever changing parameters – its resilience, and in these terms the implementation of AI is the key for the foreseeable future in terms of defining the ways we will be defining the needs of the systems, adopting to the sharp changes in energy demands and providing a stable and secure energy for present and future requirements.

The participants attending this training course will learn machine learning and artificial intelligence techniques to address bottlenecks and demand changes and unleash creativity to scale up the benefits realized across the whole enterprise. It also highlights the application of artificial intelligence to learn machines, manage uncertainty, apply neural networks, and search for solutions to problems in energy systems and operations to enable new heights of integration and cognitive development, manufacturing, and production operations.

This Energy Training Centre training course will highlight:

  • Cooperation between urban planners and energy professionals
  • Data management for energy industry
  • Use of ML for forecasts about the future performance of energy resources
  • Data Quality issues resolutions in energy systems
  • AI and machine learning for operational detection
  • Hone digital engineering and fourth industrial revolution (4IR) skills
  • Application of neural network in energy operations
  • The identification of patterns and adequate responses of the energy demands trough AI

At the end of this Machine Learning and Data Management in the Power and Energy Industry training course, you will learn to:

  • Coordinate urban planning and energy use trough ML and AI
  • Develop smart energy using AI and Data Management
  • Planning and adaptation of additional energy resources to existing systems
  • Implement smart energy planning to Power and Energy industries

This Machine Learning and Data Management in the Power and Energy Industry training course will use a plethora of proven adult learning techniques with the examples of big data, machine learning and AI for energy industry.

Organizations will significantly benefit from the collective knowledge of their employees that will understand the ways to adequately Manage Energy Data, use ML and AI tools and methods to improve the effectiveness and sustainability of the system. 

The organizations will:

  • Enhance their understanding of Energy Data Management principles
  • Learn how to properly plan incorporation of renewable energy into existing systems
  • Be able to sustain the economic viability of energy system
  • Improve the resilience of energy system to changes in energy demands
  • Adopt the best in class solutions for Data Management, ML and AI in Energy Industry
  • Use AI within energy system design and development
  • Identifying the energy requirements of the new era
  • Learning how to address energy problems trough AI
  • Understanding how to develop proper Data management system for energy industry
  • Learn how to identify energy demands
  • Apply techniques of innovation, Artificial Intelligence and pattern recognition

This Machine Learning and Data Management in the Power and Energy Industry training course is intended for professionals working with intelligent systems and operations. This is also suitable for a wide range of professionals but will greatly benefit:

  • Energy Development and Production Operations Engineers
  • Professionals in Command Centre
  • Compliance and Operational Excellence Officers
  • Professionals who intend to understand the applications of Artificial Intelligence and Machine Learning
  • Senior Corporate Leaders, Managers, Department Heads, and Supervisors in the Energy and Power Sector
  • Professionals working in energy and power generation, industrial plants, and refineries
  • Technologists and researchers in the arena of Artificial Intelligence and Energy

Day One: Energy System Design with the Use of AI 

  • Energy data management
  • Data management framework for energy systems
  • Working in unison with available Big Data
  • Expanding the view through the use of AI
  • AI systems in use for energy planning 

Day Two: Machine Learning and AI 

  • Pattern recognition for needs of energy
  • Smart Grids with the use of AI
  • Machine Learning techniques for energy demand
  • Establishing a structural AI system in Energy Industry
  • Complexity of energy requirements with introduction of renewable energy 

Day Three: Models in Use

  • KNN
  • SVM
  • Naïve Bayes
  • State Path Algorithm
  • OneR
  • JRip
  • Adaboost 

Day Four: Sustainable Energy 

  • Sustainability triangle
  • Microgrids
  • System Performance Parameters
  • Increasing resilience with the use of AI
  • Focus on Intelligent Modelling and Analysis 

Day Five: Smart Energy 

  • Examples of AI for smart energy
  • Intelligent Approach for Load Frequency Control
  • Power System Analysis
  • Power System Stability Analysis and Improvement
  • Issues and recommendations

We offer two main training formats to cater to different preferences and needs: 

  • Classroom Training Delivery – Our traditional classroom-based training courses provide a face-to-face learning experience with subject matter experts. You’ll benefit form in-person interactions, hands-on exercises, and a structured classroom environment.
  • Online Training Delivery – We also offer convenient live/online training courses that you can access from anywhere with a stable internet connection. These courses provided flexibility and allow you to learn anywhere, making them suitable for busy schedules or remote learning.

The Energy Training Centre Certificate of Completion with corresponding learning hours who has successfully completed the training course.

Yes, we provide assistance by issuing a Letter of Invitation stating that you are confirmed to attend our training.

We value transparency and are happy to provide our instructor’s profiles upon request. If you would like to learn more about our instructor’s’ qualifications, expertise, and experiences, please email us at info@energytraining.ae.

Yes, we do. We provide tailored training courses designed to meet the specific requirement of larger group of individuals. These customized training courses can be conducted both classroom and online formats, allowing you the flexibility to choose you preferred dates and duration.

Please contact us at inhouse@energytraining.ae to discuss your group’s training needs, and we’ll work with you to create a personalized training course that aligns with your objectives.

We have multiple international training venues. You may find this through our website link: https://energytraining.ae/training-locations 

Our training courses are held at our partnered hotels within the city included within our training

Yes, here are the following options we can offer to assist you:

  • Corporate Discount – We can extend our corporate discount to participants staying at the same hotel, if we have any. Please enquire about the availability of this discount when you register for the training course.
  • Nearby Hotel Suggestions – If you prefer other accommodations, we can provide a list of nearby hotels to suit your needs and budget.

Feel free to go through hotel booking platforms on the internet to find the most cost-effective for you.

No, we do not provide job placement services after the training course. However, we are confident that our training course equips you with the necessary tools and knowledge to enhance you career prospects and promote career growth. Our training course are designed to empower you with valuable skills and expertise to excel in your chosen field.

Classroom
  • Tuition fee for a 5-day training course
  • Provision of a world-class subject matter expert to deliver this training
  • Meeting at a hotel venue corresponding to your chosen session
  • Welcome food and drinks, AM / PM snack, and Lunch
  • Digital course materials (e-Tablet)
  • Course completion certificates
  • Designing and administration of Pre-& Post Course Assessments
  • Preparation of participant’s Performance and Appraisal Report, if required
  • Issuance of Letter of Invitation for delegates needed visa processing, if required
Online
  • Tuition fee for a 5-day online training course
  • Provision of a world-class subject matter expert to deliver this training through live/virtual delivery
  • An electronic copy of the training manual and relevant hand-outs
  • Issuance of The Energy Training Centre e-Certificate of Completion
  • Administration of Pre-& Post Workshop Assessments
  • Link access of online platform acceptable to both parties

Certainly, we do provide corporate rates tailored for organizations seeking to enrol multiple employees in our training programs. To facilitate this, we encourage you to make a formal request via email addressed to info@energytraining.ae. We’ll be delighted to discuss and offer a suitable arrangement for your corporate needs.

Yes, special discounts are available upon request if you have more than one registrant for a course. For further information please email us at info@energytraining.ae

We offer two convenient payment options:

  • Bank Transfer – You can make payment via bank transfer. Once your registration is confirmed, you will receive an invoice with the banking details for the transfer. We would require you to supply a swift copy for us to confirm receipt of funds.
  • Payment Link – Alternatively, we provide a secure payment link that you can use to complete your payment after your registration has been confirmed.

Upon receipt of your registration details sent via email at reg@energytraining.ae, we will send you the following by e-mail within 24-48 hours of registration.

  • Joining Instructions
  • Invoice/receipt (where appropriate)

 If you register online, you will receive an e-mail on the same day confirming your registration.

There are two convenient options to register for a training course:

  • Online Registration Form – Register for your desired training course by completing the online registration form available on our website. Simple click on the registration button or select your preferred dates and provide the requested information.
  • Email Registration – You can email us your intention to register at info@energytraining.ae. Our team will guide you through the registration process and provide assistance you may need.

Yes, we do allow registration transfers in the event that you are unable to attend the training course. To initiate a transfer, please send us an official email requesting the change. We’ll guide you through the transfer process and ensure a smooth transition of your registration to another eligible participant.

Our training course sessions are scheduled and posted on our website for your convenience. However, we understand that there may be specific requirement for your group. If you have a preferred venue and specific training dates in mind, please feel free to propose them to us by clicking on the button “Propose you preferred location & date” of your preferred training course.

Our course timings slightly vary between the cities we offer our training courses. Please let us know of your preferred course and session (dates/venue) through email at info@energytraining.ae. Alternatively, you may call/WhatsApp us at +971 50 746 0956.

We understand that time zones may be different between our Senior Consultants and our delegates. Our standard online course timings (11:00 AM to 4:00 PM, GMT+4 – Dubai, UAE) may be adjusted upon confirming the programme. Our team shall communicate between the confirmed registered delegates and suggested a suitable course timing for all.

Our standard course duration for our classroom programmes is 6 hours per day while our online session is 5 hours per day.

Our training programmes are designed to be concise yet comprehensive, focusing on professional development. The duration varies based on the specific course content and objectives – we normally offer programmes between 5 – 10 days. However, our emphasis lies in delivering interactive and engaging sessions that prioritize depth of learning within a condensed timeframe. This approach ensures participants acquire substantial knowledge and skills efficiently.

We have been assessed by TUV Rheinland Middle East FZE and comply with Quality Management System standards – ISO 9001:2015 and ISO 29993:2017, ensuring a commitment to quality and excellence in our operations and services.

Our training courses span across diverse industries, encompassing sectors such as but not limited to:

  • Power & Utilities
  • Oil & Gas
  • Financial Institutions
  • Government and Regulatory bodies
  • Manufacturing & Production Industry

Our commitment lies in continuously refining and expanding our training course offerings to align with evolving industry landscapes. We encourage individuals to explore our website or engage with our dedicated support team for the latest information on available courses, ensuring access to the most pertinent and current educational resources.

Yes, Energy Training Centre is an ILM Recognised Provider (ID# 002398B), authorized to register learners and offer training courses recognized by ILM. Participants seeking ILM Recognised Certification would need to complete an assessment post the ILM Recognised courses. ILM is a renowned provider of leadership and management qualifications, part of the City and Guilds Group. Additionally, our company is a CPD Certified Training Company, ensuring our commitment to continuous professional development standards.

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