Abstract: A method for controlling a dual fuel engine system includes determining a gas flow target for an internal combustion engine of the dual fuel engine system, where the gas flow target is based on a gas power target of the internal combustion engine, a thermal efficiency estimate of the internal combustion engine, and a lower heating value (LHV) within the internal combustion engine. The method also includes adjusting the gas flow target based on at least one of a measured gas temperature or a measured gas injector pressure and determining at least one base gas injector command based on the adjusted gas flow target, a gas substitution rate estimate, and a gas substitution rate target. The method further includes determining, based on the at least one base gas injector command, a gas injector command for at least one engine bank.

Abstract: A method for controlling a dual fuel engine system includes determining a friction power loss amount of an internal combustion engine of the dual fuel engine system, where the friction power loss amount is based on an engine speed of the internal combustion engine and a friction torque estimate. The method also includes determining an accessory power loss amount of a power of the internal combustion engine, where the accessory power loss amount is based on the engine speed and an accessory torque estimate. The method further includes estimating a net engine power amount based on the accessory power loss amount and a brake power amount of the internal combustion engine, estimating an indicated diesel power, and estimating, based on the estimated net engine power, a first indicated engine power and a first gas power.

Abstract: A method for controlling a dual fuel engine system includes estimating a total indicated engine load, where the total indicated engine load is based on a sum of a measured engine power and a power loss estimate. The method further includes determining a total fueling amount based on an engine speed and the total indicated engine load, where the total fueling amount includes a gas fueling amount and a diesel fueling amount. The method also includes controlling the dual fuel engine system using the total fueling amount.

Abstract: Aspects of the disclosure relate to using machine learning methods to produce commercial and shared economy insights. A computing platform may receive historical claim processing information. The computing platform may train a machine learning model using the historical claim processing information, which may configure the machine learning model to output new claim processing information based on claim information. The computer platform may receive a new claim, including claim information, and may process the new claim using the machine learning model, which may result in the new claim processing information. The computing platform may send, to a user computing device, the new claim processing information and one or more commands directing the user computing device to display the new claim processing information, which may cause the user computing device to display the new claim processing information.

Abstract: Aspects of the disclosure relate to using machine learning methods to produce commercial and shared economy insights. A computing platform may receive historical claim processing information. The computing platform may train a machine learning model using the historical claim processing information, which may configure the machine learning model to output new claim processing information based on claim information. The computer platform may receive a new claim, including claim information, and may process the new claim using the machine learning model, which may result in the new claim processing information. The computing platform may send, to a user computing device, the new claim processing information and one or more commands directing the user computing device to display the new claim processing information, which may cause the user computing device to display the new claim processing information.

Abstract: A method for extracting document elements for use in generating and populating message templates includes importing, by an analysis engine executing on a computing device, a first document including computer code. The analysis engine generates a hierarchical data structure including the computer code and identifies at least one candidate element of the hierarchical data structure for extraction. An extraction engine executing on the computing device automatically extracts a first portion of the computer code associated with the at least one candidate. The extraction engine associates the extracted first portion of the computer code and the at least one candidate element with a first template. A template builder receives a request for generation of a second document using the first template. The template builder populates a copy of the first template with the extracted first portion of the computer code and generates the second document from the template.