Probabilistic data structures in smart city: Survey, applications, challenges, and research directions
With the commencement of new technologies like IoT and the Cloud, the sources of data
generation have increased exponentially. The use and processing of this generated data …
generation have increased exponentially. The use and processing of this generated data …
A possible smart metering system evolution for rural and remote areas employing unmanned aerial vehicles and internet of things in smart grids
The way of generating and distributing energy throughout the electrical grid to all users is
evolving. The concept of Smart Grid (SG) took place to enhance the management of the …
evolving. The concept of Smart Grid (SG) took place to enhance the management of the …
Information and communications technology (ICT) infrastructure supporting smart local energy systems: A review
Smart local energy systems (SLES) have been reported in the past decade, which are
associated with diverse energy carriers, components and objectives. This paper provides a …
associated with diverse energy carriers, components and objectives. This paper provides a …
A bibliometric survey on incremental clustering algorithm for electricity smart meter data analysis
A Chaudhari, P Mulay - Iran Journal of Computer Science, 2019 - Springer
Smart meters (SMs) are an electronic device for recording customer energy consumption in
the time intervals of an hour or less. The use of SMs incurs benefits to people in various …
the time intervals of an hour or less. The use of SMs incurs benefits to people in various …
A hybrid electricity load prediction system based on weighted fuzzy time series and multi-objective differential evolution
Z Cao, J Wang, L Yin, D Wei, Y Xiao - Applied Soft Computing, 2023 - Elsevier
With advances in science and technology, the demand for electricity is increasing
dramatically. Consequently, reliable short-term power load prediction is critical to ensure the …
dramatically. Consequently, reliable short-term power load prediction is critical to ensure the …
IoT-enabled real-time management of smart grids with demand response aggregators
A Estebsari, PR Mazzarino… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Integration of widely distributed small-scale renewable energy sources like rooftop
photovoltaic panels and emerging loads like plug-in electric vehicles would cause more …
photovoltaic panels and emerging loads like plug-in electric vehicles would cause more …
Smart grid ecosystem modeling using a novel framework for heterogenous agent communities
The modeling of smart grids using multi-agent systems is a common approach due to the
ability to model complex and distributed systems using an agent-based solution. However …
ability to model complex and distributed systems using an agent-based solution. However …
How smart meter data analysis can support understanding the impact of occupant behavior on building energy performance: A comprehensive review
The goal of this literature review was to outline the research currently conducted on smart
meter (SM) adoption and its connection to building occupant behavior to better understand …
meter (SM) adoption and its connection to building occupant behavior to better understand …
New methods for clustering district heating users based on consumption patterns
Understanding energy users' consumption patterns benefits both utility companies and
consumers as it can support improving energy management and usage strategies. The rapid …
consumers as it can support improving energy management and usage strategies. The rapid …
Deep reservoir architecture for short-term residential load forecasting: An online learning scheme for edge computing
Y Fujimoto, M Fujita, Y Hayashi - Applied Energy, 2021 - Elsevier
The short-term residential electricity demand forecast tasks are essential for designing the
portfolio of the decision-making process of aggregators for the selection of control targets …
portfolio of the decision-making process of aggregators for the selection of control targets …