Open-source Python wrapper around Plexflo's apps, APIs, and algorithms that help researchers, engineers and energy companies build intelligence, apps, and dashboards to accelerate clean-tech adoption across all communities.
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Plexflo offers a comprehensive ecosystem of tools and libraries that lets you build Deep Learning powered applications for effective management of grid with accurate forecasting and analytics.
We have built an Open-Source library datastream that aids researchers and engineers to try our Deep Learning models for detection of EVs (Electric Vehicles) charging events from smart home meter data.
datastream helps researchers and engineers to try our Deep Learning models for detection of Electric Vehicles charging events from smart home meter data.
connect helps users to leverage our easy-to-use socket programming wrapper for hassle free client-server use-cases.
loadprofiles helps researchers and engineers to try our pre-defined 24-hour load profiles for various scenarios in their load forecasting use-cases.
utils helps users take advantage of our easy-to-use mathematical and statistical functions.
FAQs
Open-source Python wrapper around Plexflo's apps, APIs, and algorithms that help researchers, engineers and energy companies build intelligence, apps, and dashboards to accelerate clean-tech adoption across all communities.
We found that plexflo demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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