Abstract: A system for providing power trading recommendations and forecasting. The system receives plant data relating to various physical parameters from power generating plants, and it also receives market-related data from various sources providing information relating to a market condition for power consumption. The system uses heuristic, neural network, or artificial intelligence techniques to process the plant and market-related data according to business rules. Based upon the processing, the system can provide to users recommendations and forecasting concerning power trading. The system can also provide visual displays of the plant and market-related data on maps. A local application on the user-side can monitor for communication failures based upon interaction with the system.

Abstract: A computer system tests and monitors a pneumatic control system designed to automatically control steam boilers. Transducers are provided which measure the pneumatic pressures in the pneumatic control system as well as some of the parameters in the boiler system itself. These transducers convert the sensed values to digital values and can be read by a computer every tenth of a second. The computer operates and is controlled by a touch sensitive display and is programmed to provide directions on the screen to lead an operator through each of the series of the series of test steps necessary to evaluate the various components of the pneumatic control system. In addition, the system continuously monitors the various parameters of the system and through control of the touch sensitive display, the operator can have displayed to him the various parameters of the system.