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Electrical Load and Energy Forecasting, Planning & Demand Side Management

EEC-933

Course Code

10 Days

Duration

5

Upcoming Dates

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Sector Name

Electrical Engineering

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13 Dec 2026 | 24 Dec 2026
Salalah, Oman
$8,500
Limited Seats
28 Dec 2026 | 08 Jan 2027
Kuala Lumpur, Malaysia
$8,950
Upcoming
29 Mar 2027 | 09 Apr 2027
Dubai, UAE
$8,500
Upcoming
24 May 2027 | 04 Jun 2027
Online, Virtual
$3,100
Upcoming
13 Sept 2027 | 24 Sept 2027
Dubai, UAE
$8,500
Upcoming

Course Introduction

This course will assist power system professionals in planning and operating a power system with increasing penetration of Demand Side Management (DSM) Programs and renewable resources. Renewable generation impacts both the planning and the operating criteria. These criteria are examined in detail along with the new requirements for generation reserve margins. Distributed generation and smart meter infrastructures are discussed in light of commercial and residential programs. Weather volatility impacts the demand profile. Weather normal methodologies are presented along with short and long-term forecasting models. Demand Side Management programs are a fine balancing act between demand, supply, and customer choice (and incentives).
 

The Power of Agile Virtual Devices. 
 

The course presents various facets of demand side management and the broader smart grid roadmaps for customers. The Internet of Things/ The Internet of Everything is a game changer through the Power of Agile Virtual Devices. The course presents how new Devices bring new Analytics and innovative approaches to Demand Side Management.  

Course Objectives

  • Set Power System Planning Objectives
  • Gain knowledge about Load Forecasting Methodologies
  • Identify Factors Affecting Load Forecasting
  • Have a good understanding of different kinds of short-term and long-term planning
  • Examine the principle of Energy supply & demand forecasting with a National and Regional perspective
  • Assess the market conditions that affect power and energy generation, transmission, and distribution
  • Understand the critical role of energy demand forecasting in the market.
  • Utilize the various methodologies and technologies to meet the challenges of energy demand forecasting
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