demand-response

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.

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

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

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

Dynamic electricity carbon emission factors and prices for Europe

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

Demand Response Analysis Framework (DRAF)

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

Home energy multi-agent recommender framework with demand response and power limit consideration.

Agentic AI Home Energy Management System: A Large Language Model Framework for Residential Load Scheduling

This repository contains the implementation of reinforcement learning algorithms for optimizing energy demand response in commercial buildings. The project focuses on reducing peak loads and improving energy efficiency by controlling HVAC and lighting systems using state-of-the-art RL techniques.

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

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

Canonical home of the Grid 2.0 specifications — an open standard for grid service access and allocation, maintained by the Grid 2.0 Task Force (G2TF)

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

MATLAB code and data for the research article : I. Daminov, R. Rigo-Mariani, R. Caire, A. Prokhorov, M-C Alvarez-Herault, “Demand Response Coupled with Dynamic Thermal Rating for Increased Transformer Reserve and Lifetime” in Energies (IF: 2.702, Q2), 2021

A Multi-Agent Reinforcement Learning (MARL) based pricing and incentive strategy for demand response in smart grids.

An open source software to model branch- and technology-specific electricity load profiles in the tertiary sector and analyse potentials of demand side response measures.