# Long Term Load Forecasting - Outline

### Long Term Load Forecasting

The standard course outline is listed below. The course is being customized based on the background and needs of attendees. See THIS BLOG POST for my teaching method.

Course Outline

Introduction

Utility applications

How much is 1% error?

Principles of forecasting

Load forecasting terminologies

Techniques for long term load forecasting

Classical methods

The magic ruler

Regression models with monthly or daily data

S-curve for spatial load forecasting

End use studies

A statistical approach

Golden insights from hourly data

Piecewise or polynomial functions

A large but small model

It's economists' fault

Probabilistic load forecasting

Forecasting methods

Evaluation methods

A series of case studies

A crowd-sourcing approach

Challenges and solutions

Data, data, data

Weather station selection

Forecast reconciliation: when science meets reality

Emerging topics

Distributed generation

Energy efficiency and demand response

Electric vehicles

Forecast override, override what, and how?

(*Computer lab session based on MS Excel, MATLAB, R or SAS*)

Load forecasting in MS Excel

Software tools and solutions

Spreadsheet based forecasting: five approaches

Understanding the limitations

Building load forecasting models