Abstract: A system for predicting portions of the spectrum to be available for communications. Data of spectrum usage over time and availability may be obtained. An analysis of the data may be made and then a prediction may be inferred as to the present and future availability of various portions of the spectrum for use. The system may increase the usability of the spectrum.

Abstract: A control system and method for achieving economic operation of CHP systems. A plurality of factors, including power source prices and operational needs, are assessed using multiple strategies. The solutions achieved by each strategy are compared, and the best performing strategy is selected. The solution can then be implemented. The assessment of factors and strategies can be updated periodically. A further embodiment includes a method of designing a CHP system using similar methods applied to simulated or estimated future loads and costs.

Abstract: A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process disturbances. A control procedure uses process data to determine the best control action that will ensure good system response. Methods for sensor placement, automatic decision tree classification, corrective action control and the apparatus to effectuate these respective methods are integrated into a design methodology.

Abstract: A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process disturbances. A control procedure uses process data to determine the best control action that will ensure good system response. Methods for sensor placement, automatic decision tree classification, corrective action control and the apparatus to effectuate these respective methods are integrated into a design methodology.

Abstract: A sensor placement algorithm uses process data to determine the optimal distribution of sensors in a distributed parameter manufacturing system. An automatic classification procedure maps any problems in the process to a predetermined set of process disturbances. A control procedure uses process data to determine the best control action that will ensure good system response. Methods for sensor placement, automatic decision tree classification, corrective action control and the apparatus to effectuate these respective methods are integrated into a design methodology.

Abstract: A tool, and the method of making the tool, for process system identification that is based on the general purpose learning capabilities of neural networks. The tool and method can be used for a wide variety of system identification problems with little or no analytic effort. A neural network is trained using a process model to approximate a function which relates process input and output data to process parameter values. Once trained, the network can be used as a system identification tool. In principle, this approach can be used for linear or nonlinear processes, for open or closed loop identification, and for identifying any or all process parameters.

Abstract: The method of making the tool, for process system identification that is based on the general purpose learning capabilities of neural networks. The method can be used for a wide variety of system identification problems with little or no analytic effort. A neural network is trained using a process model to approximate a function which relates process input and output data to process parameter values. Once trained, the network can be used as a system identification tool. In principle, this approach can be used for linear or nonlinear processes, for open or closed loop identification, and for identifying any or all process parameters.

Abstract: An operating system for a dual fuel heating system having first and second heat pump stages, first and second gas furnace stages, an executive controller for tracking time increments and call control strategies at appropriate levels, a demand control for calculating the amount of time each heat pump can be on during a predetermined time window, a data storage apparatus, a thermostat, a first predicting module for predicting non-heat pump electrical load based on a moving average, a second predicting module for predicting heat load based on a moving average, and a limiting module for setting demand limits for off-peak, mid-peak and peak periods. The executive controller is operated to initiate operation of the foregoing routines to determine, based on historical building profile information including non-heat pump electric power information the availability of heat pump power with no increase in demand charges during any given incremental interval.

Abstract: A system for controlling the HVAC system of a building to reduce overall electrical costs is disclosed. The system develops an energy usage and storage strategy which is a function predicted ambient temperatures, predicted building load requirements and the power company's rate structure.