Course Objectives:

1.      To understand the basics of load forecasting and need of forecasting, method of forecasting

2.      To know the steps involved in load management, different tariff structure in our country. impacts of load management

3.      To study different case studies, benchmarking in energy management. different types of energy forecasting and their role in modern power system

Load Forecasting: Classification and characterization of loads, Approaches to load forecasting, Forecasting methodology, Energy forecasting, Peak demand forecasting, Non-weather sensitive forecast and Weather sensitive forecast, Total forecast, Annual and monthly peak demand forecasts, Applications of state estimation to load forecasting.


Load Management: Introduction to Load management, Electric energy production and delivery system structure (EEPDS), Design alternatives for EEPD systems, Communication/control techniques for load management, Tariff structure and load management, principles of macro and microeconomics and energy pricing strategies, Assessing the impacts of load management.


Energy Demand Forecasting:  Static and dynamic analysis of energy demand, Elements of energy demand forecasting, Methodologies and models for energy demand forecasting, Techno-economic approach in energy demand forecasting.

Energy auditing, Energy management, Power Pools and Energy Banking


Trends and Case Studies: Energy management strategy, Symbiotic relation between information, Energy models and decision making, Case studies like industrial energy forecasting, Transportation energy forecasting, Residential, Commercial and agricultural energy forecasting


Course Learning Outcomes (CLO):

On the completion of the course, the student will be able:

1.      To be familiar with different load forecasting method used in power system,

2.      To understand different phase of load management and impacts of load management

3.      To understand the concept of energy demand and method to satisfy meet the energy demand

4.      To understand the measurement of energy conservation and its case studies

5.      To be familiar with ways of saving electricity in different utilities. Different phase of energy audit.

6.      To understand the role of energy management and energy forecasting


Recommended Books:

1.         Martino J., Technological Forecasting for Decision Making”, Elsevier Press (1972).

2.         Gellings C.W. and Penn Well P.E. “Demand Forecasting in the Electric Utility Industry”, Fairmount Press (1992).

3.         Makridakis S., “Forecasting Methods and Applications”, John Wiley and Sons (1997).

4.         Brown, R.G., Smoothing, forecasting and prediction of discrete time series, PHI Int. (1963)