Grid & Energy Analytics Blog

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Artificial Intelligence

Sequence-to-point Neural Networks for NILM

This paper presents a Sequence to point architecture which primarily depends upon moving sliding windows to capture patterns for a disaggregation...



Evidence facilitates real time streaming of IoT devices which can then be used to visualize or run proprietary ML algorithms to make real time...

Future of Energy

Massive Energy Transition

With this article, we explore the energy transition in its various facets .


Boost load forecasting accuracy with better DER growth analytics


Workshop on Big Data Analytics & Data Governance for Electric Utilities