A Python-based building energy modeling (BEM) tool designed to model flexible loads in residential buildings
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Updated
Feb 14, 2025 - Python
A Python-based building energy modeling (BEM) tool designed to model flexible loads in residential buildings
Model predictive control(mpc), demand response and energyhub modeling in R
A digital companion to the research paper "Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings", by Valentyna Riabchuk, Leon Hagel, Felix Germaine, and Alona Zharova
High-concurrency sale microservices with Redis, RabbitMQ, load shifting
Agent-based Coordination for Capacity and Energy Sharing Societies (ACCESS)
MoMeEnT Adaptive Survey is a Flask-based web app for model-driven adaptive surveys, integrating real-time feedback with simulation models. It explores load-shifting in energy consumption, helping users assess cost, carbon impact, and grid effects based on their behavior. Runs locally for easy testing.
A smart home model that optimizes power consumption by shifting loads at peak hours.
Investigating electric vehicle charging and load shifting strategies
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