Business models for energy communities: A review of key issues and trends
Abstract The 'Clean Energy for All Europeans' legislative package places citizens and
communities at the heart of the European energy policy by promoting local energy …
communities at the heart of the European energy policy by promoting local energy …
[HTML][HTML] Smart energy community: A systematic review with metanalysis
Smart energy community, energy community or many other variants of this name has been
researched since the 70s but has gained more prominence in the last decade. In order to …
researched since the 70s but has gained more prominence in the last decade. In order to …
Simple unsupervised graph representation learning
In this paper, we propose a simple unsupervised graph representation learning method to
conduct effective and efficient contrastive learning. Specifically, the proposed multiplet loss …
conduct effective and efficient contrastive learning. Specifically, the proposed multiplet loss …
UAV-assisted wireless powered cooperative mobile edge computing: Joint offloading, CPU control, and trajectory optimization
This article investigates the unmanned-aerial-vehicle (UAV)-enabled wireless powered
cooperative mobile edge computing (MEC) system, where a UAV installed with an energy …
cooperative mobile edge computing (MEC) system, where a UAV installed with an energy …
Deep incomplete multi-view clustering via mining cluster complementarity
Incomplete multi-view clustering (IMVC) is an important unsupervised approach to group the
multi-view data containing missing data in some views. Previous IMVC methods suffer from …
multi-view data containing missing data in some views. Previous IMVC methods suffer from …
A community detection algorithm based on graph compression for large-scale social networks
X Zhao, J Liang, J Wang - Information Sciences, 2021 - Elsevier
Uncovering the underlying community structure of a social network is an important task in
social network analysis. To solve this problem, many community detection algorithms for the …
social network analysis. To solve this problem, many community detection algorithms for the …
A novel randomised particle swarm optimizer
The particle swarm optimization (PSO) algorithm is a popular evolutionary computation
approach that has received an ever-increasing interest in the past decade owing to its wide …
approach that has received an ever-increasing interest in the past decade owing to its wide …
Fusion estimation for multi-rate linear repetitive processes under weighted try-once-discard protocol
In this paper, the fusion estimation problem is studied for a class of discrete time-varying
multi-rate linear repetitive processes (LRPs) under weighted try-once-discard protocol. The …
multi-rate linear repetitive processes (LRPs) under weighted try-once-discard protocol. The …
Impact of energy efficiency-based ICT adoptions on prosumers and consumers
Grounded in the motivation theory, this study examines the impact of green intrinsic
motivation (GIM) and green thinking (GT) on the energy efficiency behavior (EEB) of the …
motivation (GIM) and green thinking (GT) on the energy efficiency behavior (EEB) of the …
A dynamic event-triggered approach to recursive filtering for complex networks with switching topologies subject to random sensor failures
This article deals with the recursive filtering issue for a class of nonlinear complex networks
(CNs) with switching topologies, random sensor failures and dynamic event-triggered …
(CNs) with switching topologies, random sensor failures and dynamic event-triggered …