A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
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Updated
Jun 4, 2024
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources.
Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics
⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
Unofficial Home Assistant integration for interacting with Octopus Energy
Analysis of top give winning solutions of the ASHRAE Great Energy Predictor III competition
Home Assistant integration for UK SMETS (Smart) meters pulling data from the DCC via the Hildebrand Glow API
Average, RMS, Power and Energy measurement library for Arduino.
LoRa Network Simulator to Monitor Energy Consumption
A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.
This contains the energy disaggregation code based on Graph Signal Processing approach
Multiple phase DIY energy consumption monitor using ESP32 and ESPHome
eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.
Distributed SolarNode components for collecting data and controlling devices.
An Arduino sketch to connect an INA-219 module to an ESP dev board and measure Voltage, Current, Power, Energy Consumption and Costs via the Blynk mobile app.
A Home Assistant lovelace card to display a sankey chart. For example for power consumption
Home energy usages prediction based on neural networks and smart meter data
Simulator for modeling energy consumption in cloud, fog, and edge computing environments 🌱
Building a machine learning model to predict energy consumption using LSTM (Long-Short Term Memory)
View resource consumption trends, history, analysis, and insights.
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