Abstract: A computer system for real-time coordinated operation of power distribution systems and electric vehicles identifies a set of integrated hybrid resources (IHRs), wherein each IHR within the set of IHRs comprises one or more of: energy storage (ES) systems, solar generating units, electric vehicles (EVs), and/or inflexible loads. The computer system executes, at an IHR selected from the set of IHRs, a deep deterministic policy gradient (DDPG) algorithm, the DDPG algorithm utilizing a critic deep neural network and an actor deep neural network. The critic deep neural network estimates a Q-value of an action for a given state, and the actor deep neural network estimates a best action for the given state. Based upon an output of the DDPG algorithm, the computer system generates a charging schedule for the ES systems and the EVs within the IHR.

Abstract: A computer system for real-time coordinated operation of power distribution systems and electric vehicles accesses vehicle location information for one or more vehicles. Additionally, the system accesses charging station locations for one or more charging stations within a power distribution system. The computer system also accesses power distribution information describing voltage and/or current flow limits for the power distribution system. Further, the computer system routes a vehicle selected from the one or more vehicles to a first charging station location for charging, wherein the routing of the vehicle accounts for a current battery charge level of the vehicle and the power distribution information.

Abstract: The present invention is a semi-automated process to extract object motion and attributes from utilizing a remote sensing methodology using Earth Observation data from single pass satellite imagery. Many single pass satellite sensors collect imagery that include a panchromatic and multispectral image with a slight temporal offset. The method of the present invention performs image processing, object segmentation, object measurement, image normalization and image matching and velocity calculation to extract physical attributes of the object, object location, and object motion.

Abstract: The present invention is a semi-automated process to extract object motion and attributes from utilizing a remote sensing methodology using Earth Observation data from single pass satellite imagery. Many single pass satellite sensors collect imagery that include a panchromatic and multispectral image with a slight temporal offset. The method of the present invention performs image processing, object segmentation, object measurement, image normalization and image matching and velocity calculation to extract physical attributes of the object, object location, and object motion.

Abstract: A position of a rotor of a synchronous generator is measured under no load and under load. An angle of difference between where a terminal voltage crosses a zero-point and the marked position of the rotor under no load is calculated. A load angle is of the synchronous generator based the no load angle of difference and the load angle of difference.

Abstract: A system and method for identifying computer system performance signatures and for identifying the cause of undesirable performance signatures, particularly with respect to both application-based and computer system-based parameters. Respective parametric information data is matched with corresponding parameters found in a stored plurality of reference signatures. If a match is found between the behavior of a computer system under study and a reference signature, the present invention provides information about the cause(s) of the reference signature, such that appropriate remedial measures can be taken. If a match is not found (according to predetermined matching rules), then the present invention may provide additional prompts to request additional information or test data such that the signature of computer system being tested can be further refined so that the signature of the target computer system might more closely match a reference signature.

Abstract: A system and method for identifying computer system performance signatures and for identifying the cause of undesirable performance signatures, particularly with respect to both application-based and computer system-based parameters. Respective parametric information data is matched with corresponding parameters found in a stored plurality of reference signatures. If a match is found between the behavior of a computer system under study and a reference signature, the present invention provides information about the cause(s) of the reference signature, such that appropriate remedial measures can be taken. If a match is not found (according to predetermined matching rules), then the present invention may provide additional prompts to request additional information or test data such that the signature of computer system being tested can be further refined so that the signature of the target computer system might more closely match a reference signature.