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Assessing the success of electricity demand response programs: A meta-analysis Hasselt University University of Antwerp
This paper conducts a meta-analysis of 32 electricity demand response programs in the residential sector to understand whether their success is dependent on specific characteristics. The paper analyses several regression models using various combinations of variables that capture the designs of the programs and the socio-economic conditions in which the programs are implemented. The analysis reveals that demand response programs are more likely ...
Optimal price-based and emergency demand response programs considering consumers preferences Ghent University
Industry, flexibility, and demand response Vrije Universiteit Brussel
Demand side management (DSM) contributes, among its other purposes, to provide stability and flexibility to energy systems that include a high proportion of variable renewable energy in pioneer countries and those which recently began their energy transition. Among DSM policies, implementation of measures and mechanisms for a demand response (DR) is not a trivial matter. This study presents a review and comparative analysis of the major ...
Deploying the ICT architecture of a residential demand response pilot Ghent University
The Flemish project Linear was a large scale residential demand response pilot that aims to validate innovative smart grid technology building on the rollout of information and communication technologies in the power grid. For this pilot a scalable, reliable and interoperable ICT infrastructure was set up, interconnecting 240 residential power grid customers with the backend systems of energy service providers (ESPs), flexibility aggregators, ...
Reduced state space and cost function in reinforcement learning for demand response control of multiple EV charging stations Ghent University
Electric vehicle (EV) charging stations represent a substantial load with significant flexibility. Balancing such load with model-free demand response (DR) based on reinforcement learning (RL) is an attractive approach. We build on previous RL research using a Markov decision process (MDP) to simultaneously coordinate multiple charging stations. The previously proposed approach is computationally expensive in terms of large training times, ...
CO2-abatement cost of residential heat pumps with Active Demand. Response: demand- and supply-side effects KU Leuven
Heat pumps are widely recognized as a key technology to reduce CO2 emissions in the residential building sector, especially when the electricity-generation system is to decarbonize by means of large-scale introduction of renewable electric power generation sources. If heat pumps would be installed in large numbers in the future, the question arises whether all building types show equal benefits and thus should be given the same priority for ...
Unraveling the influence of atmospheric evaporative demand on drought and its response to climate change Ghent University
Dissecting demand response University of Antwerp Hasselt University
Demand response (DR) can aid with grid integration of renewables, ensuring security of supply, and reducing generation costs. However, not enough is known about how residential customers’ perceptions of DR shape their response to such programs. This paper offers a deeper understanding of – and reveals the heterogeneity in – this relationship by conducting a quantile regression analysis of a Belgian DR trial, combining data on response with ...
Impact of residential demand response on power system operation: A Belgian case study KU Leuven
The future power system is characterized by more renewable and uncontrollable capacity at the supply side and an electrification of energy at the demand side. Both evolutions increase the need for flexibility in the power system. Although this flexibility can be triggered at the supply and demand side, the latter is often overlooked. In this perspective, this paper assesses the impact of the use of flexibility at the demand side, also referred ...