Abstract: A system and method of securing access to energy reporting and controlling devices in a facility through context specific commands that are validated against anomalous activities. Should anomalies occur, secondary authentication is performed to allow for exceptions and device access can be revoked preventing intrusions whether for unauthorized monitoring or control of the system.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system and method of dynamically calculating average monthly energy use through a system of weights attributed to business, environmental, and operational variables. The system applies machine learning to improve upon its estimations by learning the correlations of equipment and operational factors to the overall equipment use.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system and method of managing operation of environmental heating/cooling devices adjacent or designed to direct heated/cooled air adjacent a frequently opening/closing opening in a facility is provided. The system monitors various states and activities of the facility that result in the window/door opening/closing and employs strategic use of the additional heating/cooling device to maintain a comfortable environment adjacent the opening while avoiding un-necessary operation of the heating/cooling device.

Abstract: A system of modules which control and measure energy usage at a building which are in communication with a software program executing on a remote server controlled by a third party. The third party said usage via the software program which communicates with the modules to modify energy usage and demand for energy and is responsible or liable for energy usage charges the building where the third party does not actually use the energy.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: A system and method for the quantification and automatic control of energy usage for equipment through active measurement, intelligent monitoring, and predictive analysis enabling the adherence to energy budgets through automatic adjustment of the operation of the equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system of modules which control and measure energy usage at a building which are in communication with a software program executing on a remote server controlled by a third party. The third party said usage via the software program which communicates with the modules to modify energy usage and demand for energy and is responsible or liable for energy usage charges the building where the third party does not actually use the energy.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: A nanowire heating and insulating element that includes a first layer having overlapping nanowires dispersed therein and a second layer that is two conductive portions spaced apart on either side of the first layer. Electrical potential is applied to the two conductive portions such that electricity flows through the nanowires of the first layer to heat the heating element. In addition, the heating element may be applied to existing surfaces of a room having a multiple sensor pack therein which is in wireless communication with multiple devices, or Adaptors. One or more of the adaptors supply electrical potential for the heating element and is in wireless communication with a controller which is configured to monitor usage of the Adaptors and control the Adaptors as needed to respond to usage events or environmental conditions based at least in part on readings from the sensor pack.

Abstract: A system and method for dynamically and automatically adjusting the load on a power grid through micro adjustments of equipment coupled to the consumer side of the power grid. The system allowing for the automatic adjustment of equipment to either decrease or increase instantaneous power demand on the grid in response to peak demands and demand valleys to smooth the demand curve on the power grid. The system able to balance demand within the grid to adjust demand within various different portions of the power grid and allowing for reducing the power buffer supplied by electric utilities to reduce waste and carbon emissions.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment installed at a facility or many pieces of equipment at a plurality of facilities, where the system is provided with an initial baseline energy usage signature for the equipment, which is modified by measured energy usage and by at least one peripheral sensor measurement data to create a modified energy usage signature. The system uses artificial intelligence to learn and adapt the baseline energy usage signature to learn the business operation and account for external variables such as temperature variance and increased business flow or an interaction between devices. The smart system can identify when a piece of equipment falls outside of “normal” operation and determines what automatic action is to be taken for that piece of equipment.

Abstract: A system for automatically learning and adapting to the energy usage of an equipment operating according to a control input including at least one sensor for measuring an energy usage of the equipment an generating a baseline energy usage over time signature that is used to compare active energy usage measurements to so as to determine operational deviations. The system includes software that matches and compares equipment operation to established norms and can modify the functioning of the equipment when threshold deviations are detected. The system includes the ability to learn the functioning of the equipment and can adjust for dynamically changing conditions to avoid generation of false alerts or alarms while at the same time detecting longer term deviations that if left unchecked, could shorten the lifespan of the equipment and increase the costs associated with running the equipment.

Abstract: An electrical connection and control system is provided including a power source configured to provide a direct current output and an electrically powered element configured to receive power from the power source. The power is supplied via strips of nanowire material applied upon a surface. Controllers are provided to control the electrically powered elements via switches and/or via network connections.

Abstract: A system of modules which control and measure energy usage at a building which are in communication with a software program executing on a remote server controlled by a third party. The third party said usage via the software program which communicates with the modules to modify energy usage and demand for energy and is responsible or liable for energy usage charges the building where the third party does not actually use the energy.