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⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !
Kepler (Kubernetes-based Efficient Power Level Exporter) is a Prometheus exporter that measures energy consumption metrics at the container, pod, and node levels in Kubernetes clusters.
This custom component for Home Assistant will add crucial features to your climate-controlling TRV (Thermostatic Radiator Valves) to save you the work of creating automations to make it smart. It combines a room-temperature sensor, window/door sensors, weather forecasts, or an ambient temperature probe to decide when it should call for heat and automatically calibrate your TRVs to fix the imprecise measurements taken in the radiator's vicinity.
Docker container lazy loading
A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。
Energy Management System
Split Single-phase Energy Meter
Whole building non-residential hourly energy meter data from the Great Energy Predictor III competition
An open-source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
Reduce the environmental footprint of your software programs with SonarQube
A collection of non-residential buildings for performance analysis and algorithm benchmarking
Coppers is a custom test harnass for Rust that measures the energy usage of your test suite.
Offical code of "QKFormer: Hierarchical Spiking Transformer using Q-K Attention" (NeurIPS 2024，Spotlight 3%)
A curation of resources, projects, and communities related to permacomputing.
Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network
🌍 Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.
Add Runtime Compiled C++ to the Dear ImGui example using the GLFW and OpenGL backend - with power saving
SustainDC is a set of Python environments for Data Center simulation and control using Heterogeneous Multi Agent Reinforcement Learning. Includes customizable environments for workload scheduling, cooling optimization, and battery management, with integration into Gymnasium.
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.