OpenADR protocol java implementation: https://www.openadr.org/

A Pytorch DQN and DDPG implementation for a smart home energy management system under varying electricity price.

Transforms electricity spot price into thermostat control signal. Home Assistant custom component.

Code for the paper "MARL-iDR: Multi-Agent Reinforcement Learning for Incentive-based Residential Demand Response"

Renewable Energy Management and Demand Response and by PSO Algorithm (Matlab code)

Software for the use of Multi-agent Systems in Virtual Power Plants to realize Demand Response Mechanisms

A diploma thesis investigating the options of controlling power demand of households to reduce peaks in total power consumption in smart grids.

Dynamic electricity carbon emission factors and prices for Europe

Dynamic Decision Making for Demand Response through Adaptive Event Stream Monitoring

Code for our paper Demand Response Model Identification and Behavior Forecast with OptNet: a Gradient-based Approach.

Demand Response Analysis Framework (DRAF)

Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".

Hierarchical Model-Free Transactional Control of Building Loads to Support Grid Services

GoEpexSpot aims to be a comprehensive API client for fetching Day-ahead EPEX SPOT prices using Golang (Go).

Home appliance controller learn from resident negative feedback

This is an attempt to produce load forecast for an electric grid using historic load and weather data

Smart power manager for optimized solar power usage as well as greenest and cheapest energy purchase

Targeted demand response for flexible energy communities

OpenADR-2B-PyServer is a free, open-source, and secure implementation of an OpenADR 2.0B server written in Python. Utilizing the OpenLEADR library, this project aims to provide a robust and reliable platform for Automated Demand Response (ADR) solutions.