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 …

An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

🌍 Tracarbon tracks your device's energy consumption and calculates your carbon emissions using your location.

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

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.

🔋🎯 Thread-level, NUMA-aware energy attribution model for multi-tenancy

dMazeRunner: Dataflow acceleration optimization infrastructure for coarse-grained programmable accelerators

Enhancing the Performance of Transformer-based Spiking Neural Networks by SNN-optimized Downsampling with Precise Gradient Backpropagation

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

The measurement and verification methodology of the H2020 project SENSEI

Energy measurement framework for Mobile Apps

A User-Oriented Energy Monitor to Enhance Energy Efficiency in Households

ANN to SNN conversion on land cover and land use classification problem for increased energy efficiency.

SDN Low-Cost Testbed For Saving Energy Applicationin Data Center Networks (ElasticTree)

Simulación de algoritmo de control distribuido para flotas de vehículos con restricciones energéticas. Réplica del método distribuido GRID target Assignment y su extensión a asignación de tareas no monotónicas: Smith, Stephen Leslie. Task allocation and vehicle routing in dynamic environments. University of California, Santa Barbara, 2009.

A Geo-Distributed Cloud Simulator.

A lambda application bridge from Efergy platform to RabbitMQ

Analyze your consumption of electrical power, fresh water, heating oil, gas, pellets, heat pump energy, and firewood mass with python

Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.

Source code of the numerical experiments presented in "Energy-Efficient Edge-Facilitated Wireless Collaborative Computing using Map-Reduce" by Antoine Paris, Hamed Mirghasemi, Ivan Stupia and Luc Vandendorpe (presented at SPAWC19).