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Professional training course · ME-010

Load Forecasting and System Upgrade

Accurate load forecasting and effective system planning are essential for maintaining reliable, efficient, and sustainable electrical power systems. This course provides…

  • 5 daysClassroom
  • 12Upcoming dates
  • 8Cities
  • £2,250Fees from

Course overview

Why Attend

Accurate load forecasting and effective system planning are essential for maintaining reliable, efficient, and sustainable electrical power systems. This course provides participants with the knowledge and practical skills required to analyze electrical loads, forecast future demand, evaluate network performance, and develop cost-effective upgrade strategies for transmission and distribution systems. Participants will also explore modern software tools and analytical techniques used in power system planning.

Course Methodology

The course combines instructor-led presentations, engineering calculations, software demonstrations, practical workshops, case studies, group discussions, and real-world power system planning exercises.

Course Objectives

By the end of this course, participants will be able to:

  • Understand the structure and operation of electrical power systems
  • Perform electrical load estimation and demand analysis
  • Apply load forecasting methodologies for short-, medium-, and long-term planning
  • Evaluate system performance and identify upgrade requirements
  • Utilize engineering software to support distribution network planning
  • Improve system reliability through effective forecasting and capacity planning
  • Develop strategic plans for future electrical infrastructure expansion

Target Audience

  • Electrical engineers
  • Power system planners
  • Distribution and transmission engineers
  • Utility engineers
  • Electrical design engineers
  • Maintenance and operations engineers
  • Energy management professionals

Target Competencies

  • Load forecasting
  • Power system planning
  • Electrical distribution systems
  • Demand analysis
  • Network upgrade planning
  • Electrical system modeling
  • Power system analysis
  • Infrastructure planning

Course outline

  1. 1Day 1: Fundamentals of Power Systems and Network Components
    • Understanding the structure of electrical generation, transmission, and distribution systems
    • Reviewing transformer types and power factor characteristics in electrical networks
    • Understanding the operating principles of motors and generators
    • Evaluating switchgear systems and low-voltage distribution panels
    • Understanding circuit breaker technologies and protection applications
    • Reviewing protection relay types and their role in system reliability
    • Identifying critical considerations for power system modernization and upgrades
  2. 2Day 2: Load Analysis and Electrical Network Modeling
    • Understanding different categories of electrical loads and consumption characteristics
    • Performing electrical load estimation and demand calculations
    • Applying diversity, demand, and utilization factors to system design
    • Evaluating voltage sensitivity and load behavior within electrical networks
    • Utilizing engineering software tools for network modeling and load analysis
    • Performing load calculations for low- and medium-voltage systems
    • Understanding smart metering technologies, electrical measurements, customer load profiles, and equipment operating cycles
  3. 3Day 3: System Upgrade Planning and Load Behavior Analysis
    • Understanding coincident and non-coincident load characteristics
    • Evaluating diversity factors and demand management strategies
    • Analyzing load profiles, duration curves, and load shedding strategies
    • Applying load sampling techniques for power system analysis
    • Selecting appropriate sampling methods for different forecasting applications
    • Understanding the relationship between system losses, network demand, and operational efficiency
    • Developing system upgrade strategies that support customer growth and service reliability
  4. 4Day 4: Load Forecasting Models and Capacity Planning
    • Understanding electrical load growth patterns and future capacity requirements
    • Evaluating spatial load growth and demand distribution trends
    • Applying forecasting performance measures and accuracy evaluation techniques
    • Developing short-term forecasting models for operational planning
    • Applying very short-term forecasting techniques for real-time system management
    • Developing medium- and long-term forecasting models to support infrastructure expansion
    • Practical workshop: Forecasting future demand for electrical distribution systems
  5. 5Day 5: Advanced Load Forecasting Techniques and Strategic Planning
    • Applying statistical, analytical, and hybrid load forecasting techniques
    • Understanding hierarchical forecasting methods for large utility systems
    • Identifying and correcting data anomalies through cleansing and validation techniques
    • Forecasting demand response participation and retail energy consumption
    • Reviewing common forecasting errors and strategies for improving prediction accuracy
    • Developing integrated load forecasting and network upgrade plans for future-ready electrical systems
    • Course review, practical case study, lessons learned, and final Q&A

Schedule

Dates and fees

12 upcoming dates in 8 cities. Fees are per delegate; bring colleagues and every seat is discounted.

All dates as PDF
January 2027
11JAN 11 - 15 Jan 2027Mon to Fri · 5 daysNext session
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each
February 2027
8FEB 8 - 12 Feb 2027Mon to Fri · 5 days
Germany flag MunichGermany · Classroom
£4,250per delegate2+ people: £3,400 each
March 2027
8MAR 8 - 12 Mar 2027Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£3,800per delegate2+ people: £3,040 each
April 2027
12APR 12 - 16 Apr 2027Mon to Fri · 5 days
South Africa flag Cape TownSouth Africa · Classroom
£2,840per delegate2+ people: £2,272 each
May 2027
10MAY 10 - 14 May 2027Mon to Fri · 5 days
Turkey flag IstanbulTurkey · Classroom
£2,850per delegate2+ people: £2,280 each
June 2027
14JUN 14 - 18 Jun 2027Mon to Fri · 5 days
Austria flag ViennaAustria · Classroom
£4,800per delegate2+ people: £3,840 each
July 2027
12JUL 12 - 16 Jul 2027Mon to Fri · 5 days
Spain flag BarcelonaSpain · Classroom
£3,850per delegate2+ people: £3,080 each
August 2027
9AUG 9 - 13 Aug 2027Mon to Fri · 5 days
Malaysia flag Kuala LumpurMalaysia · Classroom
£2,250per delegate2+ people: £1,800 each
September 2027
13SEP 13 - 17 Sep 2027Mon to Fri · 5 days
Germany flag MunichGermany · Classroom
£4,250per delegate2+ people: £3,400 each
October 2027
11OCT 11 - 15 Oct 2027Mon to Fri · 5 days
Netherlands flag AmsterdamNetherlands · Classroom
£4,250per delegate2+ people: £3,400 each
November 2027
8NOV 8 - 12 Nov 2027Mon to Fri · 5 days
Switzerland flag GenevaSwitzerland · Classroom
£5,250per delegate2+ people: £4,200 each
December 2027
13DEC 13 - 17 Dec 2027Mon to Fri · 5 days
Turkey flag IstanbulTurkey · Classroom
£2,850per delegate2+ people: £2,280 each

Questions

Frequently asked questions

How long is the Load Forecasting and System Upgrade course?

The course runs over 5 days of classroom training, usually Monday to Friday.

When is the next Load Forecasting and System Upgrade course?

The next public date is 11 - 15 Jan 2027 in Kuala Lumpur. There are 12 upcoming dates in total.

Where is this course held?

Upcoming sessions run in Kuala Lumpur, Munich, Amsterdam, Cape Town, Istanbul, Vienna, Barcelona, Geneva.

How much does the course cost?

Fees start from £2,250 per delegate, depending on the city. Fees include tuition and course materials.

Do participants receive a certificate?

Yes. Delegates who complete the course receive a London Leadership Management Innovation certificate of completion.

Can this course be delivered in-house for our team?

Yes. LLMI can tailor and deliver this course privately for your organisation at your premises or in one of our training cities.

Course information last updated 14 November 2026.

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