Abstract: One example method for using a machine learning (ML) model in battery management comprises: receiving one or more selection inputs for selecting an ML model for providing battery management information, wherein the one or more selection inputs include a state of health (SOH) value associated with a battery system; selecting, using the selection inputs, the ML model from a plurality of ML models; obtaining, using model inputs and the ML model, the battery management information associated with the battery system; and performing, using the battery management information, a battery management decision for managing the battery system.

Abstract: The present invention relates to a process for the continuous preparation of a polyolefin from one or more ?-olefin monomers in a reactor system, the process for the continuous preparation of polyolefin comprising the steps of: +feeding a polymerization catalyst to a fluidized bed through an inlet for a polymerization catalyst; +feeding the one or more monomers to the reactor, +polymerizing the one or more monomers in the fluidized bed to prepare the polyolefin; +withdrawing polyolefin formed from the reactor through an outlet for polyolefin; +withdrawing fluids from the reactor through an outlet for fluids and transporting the fluids through first connection means, an heat exchanger to cool the fluids to produce a cooled recycle stream, and through second connection means back into the reactor via an inlet for the recycle stream; wherein a thermal run away reducing agent (TRRA) is added to the reactor in a discontinuous way.

Abstract: The present invention relates to a process for the continuous preparation of a polyolefin from one or more ?-olefin monomers in a reactor system, the process for the continuous preparation of polyolefin comprising the steps of: feeding a polymerization catalyst to a fluidized bed through an inlet for a polymerization catalyst; feeding the one or more monomers to the reactor, polymerizing the one or more monomers in the fluidized bed to prepare the polyolefin; withdrawing polyolefin formed from the reactor through an outlet for polyolefin; withdrawing fluids from the reactor through an outlet for fluids and transporting the fluids through first connection means, an heat exchanger to cool the fluids to produce a cooled recycle stream, and through second connection means back into the reactor via an inlet for the recycle stream; wherein a thermal run away reducing agent (TRRA) is added to the reactor in a discontinuous way.

Abstract: The present invention relates to a process for the continuous preparation of a polyolefin from one or more ?-olefin monomers in a reactor system, the process for the continuous preparation of polyolefin comprising the steps of: feeding a polymerization catalyst to a fluidized bed through an inlet for a polymerization catalyst; feeding the one or more monomers to the reactor, polymerizing the one or more monomers in the fluidized bed to prepare the polyolefin; withdrawing polyolefin formed from the reactor through an outlet for polyolefin; withdrawing fluids from the reactor through an outlet for fluids and transporting the fluids through first connection means, an heat exchanger to cool the fluids to produce a cooled recycle stream, and through second connection means back into the reactor via an inlet for the recycle stream; wherein a thermal run away reducing agent (TRRA) is added to the reactor in a discontinuous way.

Abstract: The present invention relates to a process for the continuous preparation of a polyolefin from one or more ?-olefin monomers in a reactor system, the process for the continuous preparation of polyolefin comprising the steps of: feeding a polymerization catalyst to a fluidized bed through an inlet for a polymerization catalyst; feeding the one or more monomers to the reactor, polymerizing the one or more monomers in the fluidized bed to prepare the polyolefin; withdrawing polyolefin formed from the reactor through an outlet for polyolefin; withdrawing fluids from the reactor through an outlet for fluids and transporting the fluids through first connection means, an heat exchanger to cool the fluids to produce a cooled recycle stream, and through second connection means back into the reactor via an inlet for the recycle stream; wherein a thermal run away reducing agent (TRRA) is added to the reactor in a discontinuous way.

Abstract: An embodiment provides intermediate data derived in the form of column stores which are in turn based on hierarchical data stores. This intermediate data represents a reduced subset of data matched appropriately to a query (or modified query) such that the amount of data handled in a query processing task on large data is greatly reduced. An embodiment may appropriately choose column data stores and/or modify queries in order leverage parallelization techniques such as map-reduce in order to query large data. The result is the ability to query large data stores in parallel while reducing the amount of data that must be handled.

Abstract: An embodiment provides intermediate data derived in the form of column stores which are in turn based on hierarchical data stores. This intermediate data represents a reduced subset of data matched appropriately to a query (or modified query) such that the amount of data handled in a query processing task on large data is greatly reduced. An embodiment may appropriately choose column data stores and/or modify queries in order leverage parallelization techniques such as map-reduce in order to query large data. The result is the ability to query large data stores in parallel while reducing the amount of data that must be handled.

Abstract: A data warehouse comprises a multidimensional data storage area to store multidimensional data and a transactional data storage area to store underlying transactional data from which the multidimensional data is generated. The data warehouse also comprises a multidimensional query processor to provide one or more interfaces to issue a first set of queries conforming to one or more multidimensional query languages to retrieve the multidimensional data from the multidimensional data storage area. Furthermore, the data warehouse comprises a dynamic query engine to provide an additional interface to issue a second set of queries that bypass the interfaces provided by the multidimensional query processor to retrieve the transactional data from the transactional data storage area, wherein the second set of queries do not conform to any of the one or more multidimensional query languages.

Abstract: A data warehouse comprises a multidimensional data storage area to store multidimensional data and a transactional data storage area to store underlying transactional data from which the multidimensional data is generated. The data warehouse also comprises a multidimensional query processor to provide one or more interfaces to issue a first set of queries conforming to one or more multidimensional query languages to retrieve the multidimensional data from the multidimensional data storage area. Furthermore, the data warehouse comprises a dynamic query engine to provide an additional interface to issue a second set of queries that bypass the interfaces provided by the multidimensional query processor to retrieve the transactional data from the transactional data storage area, wherein the second set of queries do not conform to any of the one or more multidimensional query languages.