Abstract: A method for determining an amount of electricity to purchase includes determining electrical power consumption characteristics of an electrical load at an end user of the electricity. A preference of the end user for an output of the electrical load is ascertained. The output varies with a rate of electrical power consumption by the load. A mathematical model is created of an amount of electrical power to be consumed by the load as a function of time and of monetary cost of the electricity. The model is dependent upon the electrical power consumption characteristics of the electrical load and the preference of the end user for an output of the electrical load. An amount of electricity is purchased based on the mathematical model of an amount of electrical power to be consumed by the load, and based on the monetary cost of the electricity.

Abstract: According to an embodiment of the present invention, a computer implemented method and system for isolating variables in a behavior prediction model comprises: identifying a plurality of groups comprising a first group of variables and a second group of variables; building a model, using a computer processor, for capturing an effect of the first group of variables in predicting behavior for customers; building a subsequent stage of the model, using a computer processor, on a second group of variables to neutralize the effect of the first group of variables; displaying results of the model wherein the results minimize the effect of the first group of variables in predicting behavior at a user interface; and identifying a response based on the results for a segment of the customers.

Abstract: According to an embodiment of the present invention, a computer implemented method and system for isolating variables in a behavior prediction model comprises: identifying a plurality of groups comprising a first group of variables and a second group of variables; building a model, using a computer processor, for capturing an effect of the first group of variables in predicting behavior for customers; building a subsequent stage of the model, using a computer processor, on a second group of variables to neutralize the effect of the first group of variables; displaying results of the model wherein the results minimize the effect of the first group of variables in predicting behavior at a user interface; and identifying a response based on the results for a segment of the customers.

Abstract: A method for determining an amount of electricity to purchase includes determining electrical power consumption characteristics of an electrical load at an end user of the electricity. A preference of the end user for an output of the electrical load is ascertained. The output varies with a rate of electrical power consumption by the load. A mathematical model is created of an amount of electrical power to be consumed by the load as a function of time and of monetary cost of the electricity. The model is dependent upon the electrical power consumption characteristics of the electrical load and the preference of the end user for an output of the electrical load. An amount of electricity is purchased based on the mathematical model of an amount of electrical power to be consumed by the load, and based on the monetary cost of the electricity.

Abstract: A medical sleep disorder arrangement integrates into current diagnosis and treatment procedures to enable a health care professional to diagnose and treat a plurality of subjects suffering from insomnia. The arrangement may include both environmental sensors and body-worn sensors that measure the environmental conditions and the condition of the individual patient. The data may be collected and processed to measure clinically relevant attributes of sleep quality automatically. These automatically determined measures, along with the original sensor data, may be aggregated and shared remotely with the health care professional. A communication apparatus enables the healthcare professional to remotely communicate with and further assess the patient and subsequently administer the treatment. Thus, a more accurate diagnosis and more effective treatment is provided while reducing the required clinician time per patient for treatment delivery.

Abstract: A method for determining an amount of electricity to purchase includes determining electrical power consumption characteristics of an electrical load at an end user of the electricity. A preference of the end user for an output of the electrical load is ascertained. The output varies with a rate of electrical power consumption by the load. A mathematical model is created of an amount of electrical power to be consumed by the load as a function of time and of monetary cost of the electricity. The model is dependent upon the electrical power consumption characteristics of the electrical load and the preference of the end user for an output of the electrical load. An amount of electricity is purchased based on the mathematical model of an amount of electrical power to be consumed by the load, and based on the monetary cost of the electricity.

Abstract: A medical sleep disorder arrangement integrates into current diagnosis and treatment procedures to enable a health care professional to diagnose and treat a plurality of subjects suffering from insomnia. The arrangement may include both environmental sensors and body-worn sensors that measure the environmental conditions and the condition of the individual patient. The data may be collected and processed to measure clinically relevant attributes of sleep quality automatically. These automatically determined measures, along with the original sensor data, may be aggregated and shared remotely with the health care professional. A communication apparatus enables the healthcare professional to remotely communicate with and further assess the patient and subsequently administer the treatment. Thus, a more accurate diagnosis and more effective treatment is provided while reducing the required clinician time per patient for treatment delivery.