Python library for analyzing and visualizing customer-level energy consumption data
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Updated
Sep 5, 2017 - Python
Python library for analyzing and visualizing customer-level energy consumption data
Silver medal solution in LB. Bronze medal solution in the final PB solution
Example project built as a tutorial on how to monitor the emissions and energy consumption of a Python application, using AWS CloudWatch to increase the visibility of these statistics using Custom Metrics and Dashboards.
kettle cost calculator
A software program that measure the energy and power consumed by a single application
Analytics Vidhya Jobathon for November 2022 - Create a time series forecasting model to forecast the energy consumption in the state for next 3 years.
Get data from the multimeter Siemens Sentron PAC3200 by Modbus TCP with Python
Monitoring and reducing the Energy Consumption of numerical algorithms with the PAPI library
Used XGBoost Gradient Boosting Decision Tree Supervised ML Algorithm
Proyek ini mengintegrasikan sensor PZEM004T dengan layar LCD 16x2 yang menggunakan komunikasi I2C. Sensor PZEM004T digunakan untuk mengukur berbagai parameter listrik seperti tegangan, arus, daya, energi, frekuensi, dan faktor daya. Data yang diperoleh dari sensor ini ditampilkan pada LCD 16x2 untuk pemantauan real-time.
Website showcasing an end-to-end ML solution, featuring a dashboard and detailed walk-through all stages of ML engineering.
Master's Dissertation in Informatics Engineering (2023/2024)
Application template for minimal apps using TPLs monitoring users activity.
Application template for minimal apps using crash-reporting TPLs.
Repository for my further research into comparitive performance/expressiveness/energy usage of languages
Quantify geospatial heating flexibility potential based on heating consumption data
My first data project about EU energy sector using open data source.
The Envirox is a multi-faceted platform designed to promote sustainability and awareness regarding energy consumption, product sustainability, and waste management
Using an LSTM to forecast energy consumption in London (analysis by Acorns included)
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