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Intelometry established Data Analyzer to produce a consolidated data warehouse area for reporting and analytics. This area includes the entire retail and wholesale energy value chain. Data analyzer offers energy suppliers the ability to collect, store and easily access a multitude of energy data sets used to support retail and wholesale energy functions. Data stored can be easily accessed directly by the user, exported to Excel or utilized by Data Analyzer analysis tools to perform an array of analysis options.
Data Analyzer continually collects and stores data from ISOs, wholesale data exchanges, utilities and weather data services. Data can be also manually imported into Data Analyzer using an array of Excel based import templates. This data can be easily exported by the user to Excel or migrated to inRetail or other systems. Data regularly collected and stored by Data Analyzer includes:
Data Analyzer can generate weather normalized utility load profile forecasts and backcasts using the weather response functions (WRFs) posted by numerous utilities as well as WRFs developed by Intelometry. In addition, Data Analyzer enables the user to enter customized weather response functions as desired. Data Analyzer easily integrates to standard weather data services and weather stations can be effortlessly configured by the user through Data Analyzer’s user interface.
All data sets housed in Data Analyzer can be easily exported by the user to Excel and the system will also e-mail the user desired outputs. Data Analyzer further enables the user to convert data upon export to different time zones, granularity or to even combine curves to create new data sets.
All data sets housed in Data Analyzer can be easily migrated to inRetail modules to facilitate and support the multitude of inRetail functions including pricing, tariff analyses, load forecasting, position management, and billing. Further, Data Analyzer can be set to migrate data to other systems or a File Transfer Protocol (FTP).
Data Analyzer houses analysis tools that enable the user to graph and compare time series data for forward and historical price curves, load profiles, loss factors and more. Data Analyzer analysis tools allow the user to examine market changes, compare one market to another or track market performance for varying time periods. Data Analyzer analysis tools allow the user to evaluate the following: