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Battery & DC Systems

Electrical Engineering

Battery & DC Systems

Date Venues Fees Book your seat
28 Jan - 01 Feb 2024 Cairo $ 2900 Conducted Download Brochure
28 Jan - 01 Feb 2024 Kuala Lumpur $ 3300 Conducted Download Brochure
11 Feb - 15 Feb 2024 Istanbul $ 3300 Conducted Download Brochure
03 Mar - 07 Mar 2024 Cairo $ 2900 Conducted Download Brochure
03 Mar - 07 Mar 2024 Kuala Lumpur $ 3300 Conducted Download Brochure
10 Mar - 14 Mar 2024 Dubai $ 2900 Conducted Download Brochure
10 Mar - 14 Mar 2024 Bahrain $ 2900 Conducted Download Brochure
17 Mar - 21 Mar 2024 Istanbul $ 3300 Conducted Download Brochure
14 Apr - 18 Apr 2024 Dubai $ 2900 Conducted Download Brochure
14 Apr - 18 Apr 2024 Bahrain $ 2900 Conducted Download Brochure
12 May - 16 May 2024 Salalah $ 2900 Conducted Download Brochure
16 Jun - 20 Jun 2024 Sharm El-Sheikh $ 2900 Conducted Download Brochure
04 Aug - 08 Aug 2024 London $ 5500 Conducted Download Brochure
04 Aug - 08 Aug 2024 London $ 5500 Conducted Download Brochure
08 Dec - 12 Dec 2024 Dubai $ 2900 Conducted Download Brochure
08 Dec - 12 Dec 2024 Bahrain $ 2900 Conducted Download Brochure
15 Dec - 19 Dec 2024 Kuala Lumpur $ 3300 Conducted Download Brochure
22 Dec - 26 Dec 2024 Istanbul $ 3300 Register Now Download Brochure
22 Dec - 26 Dec 2024 Cairo $ 2900 Register Now Download Brochure

Course Overview:

This course introduces electric load forecasting from both statistical and practical aspects using the language and examples in the power industry. Through hands-on exercises, participants gain experience of load forecasting for a variety of horizons (short, very short, medium and long term forecasts).

Course Objective:

  • Review of electric power distribution load characteristic (how it is done)
  • Understand practical characteristic and planning methods
  • Understand basic theory and mathematics of modern distribution load characteristic.
  • Estimate Power Quality State
  • Specify the accuracy and information content requirements

Who Should Attend?

Engineers, managers, planners and analysts who work for power supply companies and who have to make investment decisions requiring a better understanding of how the power system impacts the economics of generation.

Course Outline:

  1. Basic statistical concepts
  2. Regression analysis
  3. Time series and linear regression
  4. Load forecasting using minitab
  5. Load forecasting using time series
  6. Load forecasting using neural network
  7. Mechanical efficiency of a gas turbine, steam turbine, and diesel engines
  8. Cost of KWh unit per the various mechanical prime moovers

Training Methodology:

  • Presentation & Slides
  • Audio Visual Aids
  • Interactive Discussion
  • Participatory Exercise
  • Action Learning
  • Class Activities
  • Case Studies
  • Workshops
  • Simulation
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