AUTOGRID INC. Patent applications |
Patent application number | Title | Published |
20150192945 | DETERMINING LOAD REDUCTIONS IN DEMAND RESPONSE SYSTEMS - The present invention relates to a signal processing technique for characterization of baseline noise, and for determining load reduction in presence of baseline noise. The method utilizes sparse signal processing algorithm to recover demand resource response signal and a plurality of SNR enhancement strategies are then applied to demand resource response signal for enhancing the signal to noise ratio. | 07-09-2015 |
20150134280 | SCALABLE AND WEB-BASED DR PLATFORM FOR COMMUNICATION OF A DR SIGNAL USING A NETWORK SERVER - A scalable and web-based demand response platform for optimization and management of Demand response resources are provided. The optimization and management are achieved by using a server, a program design module, a customer portal module, a forecasting optimization module, an event management module, an application programming interface, an analytics module for performing analysis for performing analysis of the data feeds. The said platform is offered to the users on software-as-a-service model. | 05-14-2015 |
20150046221 | LOAD FORECASTING FROM INDIVIDUAL CUSTOMER TO SYSTEM LEVEL BASED ON PRICE - The present invention relates to system and method for providing near real-time DR events and price signals to the customer end-points to optimally manage the available DR resources. The system utilizes bottom up load forecasting for accurate individualized forecasts for customer loads in the presence of dynamic pricing signals. For better efficiency and reliability of grid operation the system utilizes advanced machine learning and robust optimization techniques for real-time and “personalized” DR-offer dispatch. | 02-12-2015 |
20140343983 | SYSTEM AND A METHOD FOR OPTIMIZATION AND MANAGEMENT OF DEMAND RESPONSE AND DISTRIBUTED ENERGY RESOURCES - A system and a method for optimization and management of Demand Response in real time manner is provided. The system employs a resource modeler, a forecasting engine, an optimizer, a dispatch engine, and a baseline engine. The system is built using open framework standards based signaling and data collection, and is offered under a “Software-as-a-Service” model to significantly reduce the cost of participation in demand response. It uses off the shelf information and communication technology (ICT) and controls equipment. | 11-20-2014 |