2022
DOI: 10.24084/repqj20.414
|View full text |Cite
|
Sign up to set email alerts
|

Optimisation of an aggregator’s customer portfolio based on inter-user compatibility

Abstract: This paper aims to present a methodology for optimizing the customers’ portfolio of an aggregator by analysing the compatibility between prosumers (clients). The methodology evaluates two main components: energy and socioeconomic. With this, the intention is to maximise the economic benefits of the aggregator and to establish a personalised tariff according to the user profile. Since this figure was conceived, efforts have been mainly aimed at meeting only and exclusively the energy demand requirements without… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2024
2024
2024
2024

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(1 citation statement)
references
References 15 publications
(17 reference statements)
0
1
0
Order By: Relevance
“…Over the past years, numerous research studies have been carried out to analyse the actual and future supply and demand energy patterns in the residential sector [31][32][33][34][35][36]. Research works focus on the characterisation of the energy profile of households (apartments and single-houses), consumers' preferences, and impact over the grid management [37][38][39] in order to facilitate utilities´planning activities while benefitting the consumer with a reduction in their energy bills. These studies are mainly concerned with load shape, peak load, and quality of service provided by power companies [40][41][42][43][44][45][46][47], using Energy Management Systems capable of communicating with the Grid Management Operator to facilitate automated demand response actions.…”
Section: State-of-the-artmentioning
confidence: 99%
“…Over the past years, numerous research studies have been carried out to analyse the actual and future supply and demand energy patterns in the residential sector [31][32][33][34][35][36]. Research works focus on the characterisation of the energy profile of households (apartments and single-houses), consumers' preferences, and impact over the grid management [37][38][39] in order to facilitate utilities´planning activities while benefitting the consumer with a reduction in their energy bills. These studies are mainly concerned with load shape, peak load, and quality of service provided by power companies [40][41][42][43][44][45][46][47], using Energy Management Systems capable of communicating with the Grid Management Operator to facilitate automated demand response actions.…”
Section: State-of-the-artmentioning
confidence: 99%