Recent advances in the analysis of residential electricity consumption and applications of smart meter data
The emergence of smart grid technologies and applications has meant there is increasing
interest in utilising smart meters. Smart meter penetration has significantly increased over …
interest in utilising smart meters. Smart meter penetration has significantly increased over …
A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids
Microgrid equipped with heterogenous energy resources and a bank of energy storage
devices presents the idea of small scale distributed energy management (DEM). DEM …
devices presents the idea of small scale distributed energy management (DEM). DEM …
A comprehensive survey on local differential privacy toward data statistics and analysis
T Wang, X Zhang, J Feng, X Yang - Sensors, 2020 - mdpi.com
Collecting and analyzing massive data generated from smart devices have become
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
increasingly pervasive in crowdsensing, which are the building blocks for data-driven …
A hybrid model approach for forecasting future residential electricity consumption
Urban energy management nowadays has put more focus on residential houses energy
consumption. Lots of machine learning based data-driven approaches have the abilities to …
consumption. Lots of machine learning based data-driven approaches have the abilities to …
Electric load clustering in smart grid: Methodologies, applications, and future trends
With the increasingly widespread of advanced metering infrastructure, electric load
clustering is becoming more essential for its great potential in analytics of consumers' …
clustering is becoming more essential for its great potential in analytics of consumers' …
A systematic review of building electricity use profile models
The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …
emissions. Improving renewable energy utilization in buildings is of considerable …
Residential load scheduling in smart grid: A cost efficiency perspective
In smart grid, residential consumers adopt different load scheduling methods to manage
their power consumptions with specific objectives. The conventional load scheduling …
their power consumptions with specific objectives. The conventional load scheduling …
Understanding energy demand behaviors through spatio-temporal smart meter data analysis
Energy demand-side management, especially empowered by the fine-grained smart meter
data, plays a significant role in the rational allocation of energy, monitoring and supervision …
data, plays a significant role in the rational allocation of energy, monitoring and supervision …
[HTML][HTML] Urban water consumption at multiple spatial and temporal scales. A review of existing datasets
Over the last three decades, the increasing development of smart water meter trials and the
rise of demand management has fostered the collection of water demand data at …
rise of demand management has fostered the collection of water demand data at …
Review of machine learning techniques for power electronics control and optimization
M Bahrami, Z Khashroum - arXiv preprint arXiv:2310.04699, 2023 - arxiv.org
In the rapidly advancing landscape of contemporary technology, power electronics assume
a pivotal role across diverse applications, ranging from renewable energy systems to electric …
a pivotal role across diverse applications, ranging from renewable energy systems to electric …