Project title:	Intelligent Energy Control
Sponsors:	Electric Power Research Institute
Duration:	Jan 1, 1992 - Dec 31, 1995
Team Members:	Jason Teeter, Mo-Yuen Chow
Description:	The objective of this project is to develop a load demand-side intelligent energy control system for a commercial building while maximizing comfortability and minimizing energy and cost. Artificial neural networks are investigated in this project to perform intelligent energy control that would overcome the difficulties that other types of energy controllers have encountered before. The intelligent energy controller uses a real time system identification technique and an optimal control approach. It aims toward an intelligent control scheme that can self adapt by monitoring some easily accessible parameters, such as temperature and humidity in the building and power consumption of the Heat-Ventilation-Air-Conditioner (HVAC) system of the building. This project is being investigated from both theoretical and practical points of view. The project results can significantly improve the performance and efficiency of the present load demand-side management systems. The success of the project will give insights to the improvement of the energy management system, not only for load demand-side management but also for the energy management system in power system operations using new and promising technologies.
Milestones completed:	To be added.
Publications:	EditRegion_Publications
Bench/Prototype:	To be added.
Links:	To be added.