CATEGORY

Artificial Intelligence

Artificial Intelligence
Non-Intrusive Load Monitoring using Deep Learning

Energy Disaggregation done with plain mathematical functions might not cut to the chase in production-grade pipelines, with emphasis on generalizability and superior performance. Modern Deep Learning algorithms have proven to be particularly good architectures in mitigating basic mathematical and Machine Learning implementations. Also, the feature extraction is taken care of by the model itself since we are not handcrafting any features. Since the data size is in the magnitude of hundreds of GBs, it becomes more imperative to go for Deep Learning methodologies for a more robust Energy Disaggregation.

Pranav Raikote
·
July 3, 2022
Artificial Intelligence
Extraction of EV Charging profiles by Deep Generative Models

Non-intrusive Load Monitoring is a basic part of the Grid Infrastructure for a smooth flow of power to the customers. Moreover, the flooding of EVification around the world, furthermore reiterates the requirement for effective and reasonable monitoring of Grids, banishing them from breakdown and causing expected misfortunes. To mitigate the same, Deep Generative Models, a type of man-made brainpower algorithm assumes an extremely significant part in the monitoring of the Load and aiding the Utility organizations to incentivize the charging of EVs at different periods for better load management. To pursue more about how profound generative models help Utility organizations in Load monitoring from the Grid Signal, checkout the blog

Vedant Sahai
·
April 2, 2022
Artificial Intelligence
Deep Learning for Time-series Multi-Label Classification

Working on time series data labeling is quite cumbersome, considering a variety of components in the data and the steps to be taken in preparing the data for training from the raw data dump. Moreover, employing Machine Learning or Deep Learning models on such input from industrial data science projects is quite tricky, especially for time series forecasting classification. In this article, I want to share a few tips on labeling time series data and tackle some of the major problems in the multi-label classification of time-series data.

Pranav Raikote
·
July 3, 2022
LET’S TRY!

Take your company's environmental impact to the next level
‍

use-cases
StatusDevelopersCareersContact UsBlog

© Plexflo LLC, 2022. Made in USA.

Data PrivacyTerms & ConditionsCookie Preferences