Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties-Reference-Cited by-同舟云学术

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Model predictive control of distributed energy resources in residential buildings considering forecast uncertainties

Published:2024-01 Issue: Volume:303 Page:113753
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Langner Felix^ORCID,Wang Weimin,Frahm Moritz^ORCID,Hagenmeyer Veit^ORCID

Funder

University of North Carolina at Charlotte

Harold Grinspoon Foundation

Electric Power Research Institute

Helmholtz Association

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference49 articles.

1. Demand flexibility of residential buildings: definitions, flexible loads, and quantification methods;Luo;Engineering,2022

2. Large-scale grid integration of residential thermal energy storages as demand-side flexibility resource: a review of international field studies;Kohlhepp;Renew. Sustain. Energy Rev.,2019

3. Experimental implementation of whole building mpc with zone based thermal comfort adjustments;Hilliard;Build. Environ.,2017

4. Use of model predictive control and weather forecasts for energy efficient building climate control;Oldewurtel;Energy Build.,2012

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1. A comprehensive review of predictive control strategies in heating, ventilation, and air-conditioning (HVAC): Model-free VS model;Journal of Building Engineering;2024-10

2. Improved robust model predictive control for residential building air conditioning and photovoltaic power generation with battery energy storage system under weather forecast uncertainty;Applied Energy;2024-10

3. A probabilistic model for real-time quantification of building energy flexibility;Advances in Applied Energy;2024-09

4. Energy optimization algorithms for multi-residential buildings: A model predictive control application;Energy and Buildings;2024-09

5. Advancing waste heat potential assessment for net-zero emissions: A review of demand-based thermal energy systems;Renewable and Sustainable Energy Reviews;2024-09

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