Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: The present invention provides a digital communications system for receiving and integrating multiple service communication feeds into an overall composite deliverable by way of an enhanced and interactive user interface. The system receives peer identification and scoring communications signals from multiple services and based on known handshake configurations links peer identification data to dimensions used to generate an integrated peer identification score and list. A graphical user interface allows users to modify the dimension aggregator function to obtain customizable sets of results based on services communications feeds.

Abstract: A method for controlling decentralized power generation plants comprises the steps of receiving control commands and/or measuring supply network parameters, processing the received control commands and/or the measured supply network parameters, generating control signals in response to the received control commands and/or the measured supply network parameters for controlling a first power inverter, transmitting the generated control signals to an inverter interface for being output to a first power inverter, adjusting plant parameters, for example the power output of the decentralized power generation plant using the first power inverter in response to the control signals received from the inverter interface. A power generation plant including a power generation plant controller for performing the method is also disclosed.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: The invention provides a method for controlling decentralized power generation plants. The method comprises the steps of receiving control commands and/or measuring supply network parameters, processing the received control commands and/or the measured supply network parameters, generating control signals in response to the received control commands and/or the measured supply network parameters for controlling a first power inverter, transmitting the generated control signals to an inverter interface for being output to a first power inverter, adjusting plant parameters, for example the power output of the decentralized power generation plant using the first power inverter in response to the control signals received from the inverter interface. The invention furthermore provides a power generation plant controller and a power generation plant including a power generation plant controller for performing the method.

Abstract: The present disclosure is directed towards systems and methods for evaluating and classifying data, which comprises receiving a first signal associated with a set of user defined categories and a second signal associated with a first set of one or more data items to be analyzed. The set of categories are presented on an interface and each of the data items are to be analyzed are presented on a tile overlay on the interface. A first swipe identification signal identifying a first category to apply to a first data item and a second swipe identification signal identifying a second category to apply to a second data item are received. Based upon the swipe identification signals, a first record associating the first data item with the first category and a second record associating the second data item with the second category are generated and stored in a memory.

Abstract: An image of a printed document portion is provided to a synchronizer. The synchronizer retrieves an electronic version of the printed document and identifies an electronic text portion that is textually similar to a printed text portion. The synchronizer detects an annotation in the printed document portion and inserts a corresponding digital annotation into the electronic document.

Abstract: The present invention provides a digital communications system for receiving and integrating multiple service communication feeds into an overall composite deliverable by way of an enhanced and interactive user interface. The system receives peer identification and scoring communications signals from multiple services and based on known handshake configurations links peer identification data to dimensions used to generate an integrated peer identification score and list. A graphical user interface allows users to modify the dimension aggregator function to obtain customizable sets of results based on services communications feeds.

Abstract: An image of a printed document portion is provided to a synchronizer. The synchronizer retrieves an electronic version of the printed document and identifies an electronic text portion that is textually similar to a printed text portion. The synchronizer detects an annotation in the printed document portion and inserts a corresponding digital annotation into the electronic document.

Abstract: Estimations of carbon dioxide (“C02”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the C02 emission of the entity. The C02 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The C02 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: A method includes verifying, via an application chat server, an association between a first access device and a second access device, wherein the first access device and the second access device associated with a first statement of task capability and a second statement of task capability, respectively. The method further includes analyzing, based upon one or more of the first and second statements of task capability, a task command to determine that the second access device is capable of executing at least one task. The method further includes generating, in response to the determining, an execution command, wherein the execution command associated with the at least task and transmitting an execution signal, wherein the execution signal associated with the execution command.

Abstract: A method for a rating system identifies user-selected performance indicators associated with one or more properties. A rating is computed for each of the user-selected performance indicators and for each entity in an entity class by applying at least the user-selected performance indicators to a rating algorithm. The entity class is divided into at least three approximately equal numbers of entity. For each of the performance indicator rating, the method sorts the performance indicator relative to a respective performance indicator of the other entity in the entity class, maps the sorted results to one of the at least three divisions of the entity class, and identifies and presents a portion of the user-selected performance indicators that represent indicators that outperform or underperform the entity class.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“C02”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the C02 emission of the entity. The C02 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The C02 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Estimations of carbon dioxide (“C02”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the C02 emission of the entity. The C02 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The C02 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.