Load Forecasting in Smart Grid Power Systems - This 12-hour live online instructor-led training course presents the most advanced methodologies to forecast the load in the short, medium and long term, in light of the integration of new technologies, regulatory changes and the penetration of renewable energy resources facilitated by the operating flexibility brought by power electronics.
The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy.
The course defines AI and machine learning and their relevance to the forecast of demand profiles. Special attention is given to the advanced AI applications and Machine Learning for load forecasts.
The course introduces the Blockchain as a new line of defense against cyber threats and its increasing application in P2P and Renewable Certificates. This course is designed for the management and practitioners in the power industry. It presents modern load forecasting methodologies in the context of the latest trends and technologies in the power system.
This course will benefit electric utility transmission and distribution engineers and managers, industrial, commercial and institutional electrical professionals and property managers of any condo complex or university campus, law firms and any entity with interests in load or energy forecasting, green energy and conservation.
Load Forecasting in Smart Grid Power Systems - Course Outline
DAY ONE (6 hour course)
LOAD FORECASTING METHODOLOGIES and DEMAND SIDE MANAGEMENT
2. LOAD DEMAND PATTERNS
3. METHODOLOGY for SHORT TERM LOAD FORECAST
Support vector regression techniques
4. METHODOLOGY for LONG TERM LOAD FORECASTING: ECONOMETRIC MODELS
5. DEMAND SIDE MANAGEMENT and the PHYSICAL SYSTEM
6. SMART METER ECOSYSTEM
7. ENERGY STORAGE and DEMAND SIDE MANAGEMENT
8. MARKET ECONOMICS: Examples from Canada, Europe, USA
DAY TWO (6 hour course)
9. INTEGRATION OF SMART GRIDS with a MODERN DISTRIBUTION UTILITY
10. SMART GRID STRATEGY
11. The Big Picture- Vision 2030
12. IOT – Internet of Things
13. INTERNET OF THINGS WORLD FORUM REFERENCE MODEL
Start: 10 a.m. Eastern Time
Finish: 4:30 p.m. Eastern Time
The registration fee to attend this live online training course is $599 + GST/HST.
Click Here to download a $100 discount coupon that you can apply toward the regular registration fee and pay only $499 + GST/HST
Register 3 delegates at full price $599, and get a 4th registration FREE!
Successful completion of this course qualifies delegates to receive a certificate of course completion with indicated CEUs.
CEUs are granted by the Engineering Institute of Canada. One CEU is equivalent to 10 professional development hours of instruction.
This course earns 1.2 CEUs.