Meniscus Analytics Platform (MAP) uses Data Blocks and Data Versioning to reduce disk IOPS and deliver the calculation speeds for real time analytics – view the article to see more information
This author has yet to write their bio.Meanwhile lets just say that we are proud meniscus contributed a whooping 36 entries.
Entries by meniscus
New MAP Sewer capability speeds up the creation of simplified sewer network models. The process uses QGIS and Python scripts to simplify the much more detailed models already developed by the Water Companies. As a result, we create a set of output files that can be imported directly into MAP Sewer.
Case study – Short term solar irradiance predictions and impact on PV site revenue This case study summarises the work completed in an InnovateUK collaborative research project to optimize battery storage at PV sites using short term solar irradiance predictions. As a result of this work, the project delivered the following outcomes. Deliver solar irradiance […]
We are updating MAP Rain to let users calculate the FEH 2013 return period for any location. This process updates the existing FEH99 return period calculation service and provides API calls to let users embed the calculations in their own applications.
MAP Solar – our new service that predicts solar irradiance for the next two hours at 15 minute intervals at any location
New MAP Rain geometry delivers large cost reduction for accessing rainfall analytics data
MAP Rain updated to display rainfall data as images that work at multiple zoom levels
New MAP Rain feature – Areal FEH99 Return Period calculator for polygons
Overview of a one day hackathon using a closed data set to investigate how data analytics can help find the best locations for some +8,000 sensors. Details the solution delivered and developed on the day
Our latest release lets us run multiple instances of core modules (importers, calculators and invalidators) on multiple servers with the ability to start and stop instances on demand.
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