Abstract: A method and system of optimizing microgrid operations is provided. One or more intelligent microgrid coordinators interface with the microgrid such that those microgrid coordinators are able to measure and control all microgrid asset activities. The microgrid coordinator is used to forecast the microgrid's demanded load more accurately, and assign asset commands so as to optimize microgrid consumption, generation, and storage of load. The method and system incorporate a valuation of dispatchable load in optimization functions. The microgrid coordinator is further used to protect the microgrid assets from over-current situations when the microgrid is connected to the bulk electric system and when islanded. The method and system provide a means to test the microgrid controller prior to implementation on the microgrid in order to assure proper operation.

Abstract: A method and system of optimizing microgrid operations is provided. One or more intelligent microgrid coordinators interface with the microgrid such that those microgrid coordinators are able to measure and control all microgrid asset activities. The microgrid coordinator is used to forecast the microgrid's demanded load more accurately, and assign asset commands so as to optimize microgrid consumption, generation, and storage of load. The method and system incorporate a valuation of dispatchable load in optimization functions. The microgrid coordinator is further used to protect the microgrid assets from over-current situations when the microgrid is connected to the bulk electric system and when islanded. The method and system provide a means to test the microgrid controller prior to implementation on the microgrid in order to assure proper operation.

Abstract: The disclosure relates to transferred learning from a first language (e.g., a source language for which a semantic parser has been defined) to a second language (e.g., a target language for which a semantic parser has not been defined). A system may use knowledge from a trained model in one language to model another language. For example, the system may transfer knowledge of a semantic parser from a first (e.g., source) language to a second (e.g., target) language. Such transfer of knowledge may occur and be useful when the first language has sufficient training data but the second language has insufficient training data. The foregoing transfer of knowledge may extend the semantic parser for multiple languages (e.g., the first language and the second language).

Abstract: The disclosure relates to transferred learning from a first language (e.g., a source language for which a semantic parser has been defined) to a second language (e.g., a target language for which a semantic parser has not been defined). A system may use knowledge from a trained model in one language to model another language. For example, the system may transfer knowledge of a semantic parser from a first (e.g., source) language to a second (e.g., target) language. Such transfer of knowledge may occur and be useful when the first language has sufficient training data but the second language has insufficient training data. The foregoing transfer of knowledge may extend the semantic parser for multiple languages (e.g., the first language and the second language).

Abstract: A process/method is provided, which facilitates resource optimization considering all dispatchable resources as well as user rate charges, which are rate charges comprised of a base rate plus an incremental excess fee associated with designated usage parameters. The proposed system and method may utilize inputs to construct a periodic load profile over varied periods of time. The disclosure relates to forming a periodic load profile over varied periods of time based upon considerations of short-term and long-term cost for uses within microgrids to create microgrid resource schedules that optimize usage of loads and generation resources within a microgrid for minimizing both short-term energy charges and long-term demand charges while increasing microgrid resource efficiencies.

Abstract: A method and system of optimizing microgrid operations is provided. One or more intelligent microgrid coordinators interface with the microgrid such that those microgrid coordinators are able to measure and control all microgrid asset activities. The microgrid coordinator is used to forecast the microgrid's demanded load more accurately, and assign asset commands so as to optimize microgrid consumption, generation, and storage of load. The method and system incorporate a valuation of dispatchable load in optimization functions. The microgrid coordinator is further used to protect the microgrid assets from over-current situations when the microgrid is connected to the bulk electric system and when islanded. The method and system provide a means to test the microgrid controller prior to implementation on the microgrid in order to assure proper operation.

Abstract: A delta type kite that comprises a sail (T) mounted on a chord constituted by a central longitudinal rod (C), two lateral rods (L) and two tension rods (1). Each of the tension rods has an end coupled to a nose (N) of the kite and in contact with the sail (T). The kite also includes a rear transverse rod (5) and a front transverse rod (9) in a plane which is lower than a plane containing the sail (T). There are also rear stiffeners connecting the tension rods (1) to the transverse rods (5,9). The kite has two front stiffeners (11) individually coupled to the two transverse rods to give the sail (T) an airplane wing shape.