Abstract: In various embodiments, a computing device, a non-transitory storage medium, and a computer implemented method of improving a computational efficiency of a computing platform in processing a time series data includes receiving the time series data and grouping it into a hierarchy of partitions of related time series. The hierarchy has different partition levels. A computation capability of a computing platform is determined. A partition level, from the different partition levels, is selected based on the determined computation capability. One or more modeling tasks are defined, each modeling task including a group of time series of the plurality of time series, based on the selected partition level. One or more modeling tasks are executed in parallel on the computing platform by, for each modeling task, training a model using all the time series in the group of time series of the corresponding modeling task.

Abstract: A computer implemented method includes generating a pipeline graph having a plurality of layers, each of the plurality of layers having one or more machine learning components for performing a predictive modeling task. A plurality of pipelines are operated through the pipeline graph on a training dataset to determine a respective plurality of results. Each of the plurality of pipelines are distinct paths through selected ones of the one or more machine learning components at each of the plurality of layers. The plurality of results are compared to known results based on a user-defined metric to output one or more leader pipelines.

Abstract: There are provided a method and system for optimizing of a long-term electricity resource plan. The system obtains a capital costs component value including capital costs for emission abatement retrofits at an existing power plant and a new power plant over a period of time. The system obtains a fuel costs component value including the sum of fuel utilization of all generating units in the existing power plant and new power plant over the period of time. The system obtains an emission costs component value including emission allowance costs and emission violation costs in the period of time. The system adds the capital costs component value, the fuel costs component value and the emission costs component value to compute a net present value that meets emission constraints.

Abstract: A system and method for employing a file system and file system services on the industrial controller. The file system allows industrial control programs to implement many functions previously performed within the industrial control program and stored in the same memory as the industrial control program. An execution engine is provided that interprets instructions included in an industrial control program. The instructions utilize services in the file system for including user defined routine files loaded from local or remote locations, to load and unload recipe files from local and remote locations, to log and retrieve measured data and trend data to files at local or remote locations, to select different operating systems and to select a running program from a plurality of running programs utilizing the file system.

Abstract: A system and method for employing a file system and file system services on the industrial controller. The file system allows industrial control programs to implement many functions previously performed within the industrial control program and stored in the same memory as the industrial control program. An execution engine is provided that interprets instructions included in an industrial control program. The instructions utilize services in the file system for including user defined routine files loaded from local or remote locations, to load and unload recipe files from local and remote locations, to log and retrieve measured data and trend data to files at local or remote locations, to select different operating systems and to select a running program from a plurality of running programs utilizing the file system.