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Graph convolutional networks in language and vision: A survey
Graph convolutional networks (GCNs) have a strong ability to learn graph representation
and have achieved good performance in a range of applications, including social …
and have achieved good performance in a range of applications, including social …
Artificial-intelligence-enabled dynamic demand response system for maximizing the use of renewable electricity in production processes
The transition towards renewable electricity provides opportunities for manufacturing
companies to save electricity costs through participating in demand response programs. End …
companies to save electricity costs through participating in demand response programs. End …
Multi-period observation clustering for tariff definition in a weekly basis remuneration of demand response
Distributed energy resources can improve the operation of power systems, improving
economic and technical efficiency. Aggregation of small size resources, which exist in large …
economic and technical efficiency. Aggregation of small size resources, which exist in large …
[HTML][HTML] Rating the participation in demand response programs for a more accurate aggregated schedule of consumers after enrolment period
Aggregation of small size consumers and Distributed Generation (DG) units have a
considerable impact to catch the full flexibility potential, in the context of Demand Response …
considerable impact to catch the full flexibility potential, in the context of Demand Response …
Clustering Models for Demand Response Aggregation
In the modern power system, the need for flexibility is increasing manifold due to the high
quantum of renewable energy. The intermittency in renewable generation combined with …
quantum of renewable energy. The intermittency in renewable generation combined with …
[HTML][HTML] Demand response and distributed generation remuneration approach considering planning and operation stages
The need for new business models to replace existing ones, soon obsolete, is a subject
often discussed among researchers in the area. It is essential to find a practical solution that …
often discussed among researchers in the area. It is essential to find a practical solution that …
Outlier detection and clustering of household's electrical load profiles
The concept of data analysis exit in the literature theoretically for years. However, rapidly
increasing technology has facilitated the practical implementation also. However, the data …
increasing technology has facilitated the practical implementation also. However, the data …
Consumer flexibility aggregation using partition function games with non-transferable utility
This paper explores the aggregation of electricity consumers flexibility. A novel coalitional
game theory model for partition function games with non-transferable utility is proposed. This …
game theory model for partition function games with non-transferable utility is proposed. This …
[HTML][HTML] Determination of the typical load profile of industry tasks using fuzzy C-Means
This paper aims to promote the importance and advantages that the clustering method
brings to the world of industry, making it possible to increase production efficiency and to …
brings to the world of industry, making it possible to increase production efficiency and to …
Defining the optimal number of demand response programs and tariffs using clustering methods
Nowadays, the data can be considered an asset when properly managed. An entity with the
right tool to analyse the amount of data existent and withdraw crucial information will have …
right tool to analyse the amount of data existent and withdraw crucial information will have …