New Service predicts solar irradiance for the next two hours at any location
This author has yet to write their bio.Meanwhile lets just say that we are proud meniscus contributed a whooping 32 entries.
Entries by meniscus
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 – calculate FEH99 Return Periods for polygons using the Aereal FEH99 option
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.
Overview of the Open Data leakage hackathon run by Yorkshire Water to identify new ways of applying Big Data and analytics solutions to the issue or water leakage
This project uses near real time satellite imagery to create short term predictions of output from PV farms to help optimise revenues for sites having battery storage
MAP Rain is our high performance, flexible and scalable cloud-based solution for rainfall and flood monitoring analytics. MAP Rain delivers location specific rainfall analytics for any point and any area of interest.
This post focuses on MAP’s (Meniscus Analytics Platform) IOT type capabilities for creating applications that can setup hundreds of thousands of entities (or meters and sensors in this video) which are created from a template using a web client application.
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