Compression of smart meter big data: A survey
L Wen, K Zhou, S Yang, L Li - Renewable and Sustainable Energy …, 2018 - Elsevier
In recent years, the smart grid has attracted wide attention from around the world. Large
scale data are collected by sensors and measurement devices in a smart grid. Smart meters …
scale data are collected by sensors and measurement devices in a smart grid. Smart meters …
Electricity load forecasting for residential customers: Exploiting aggregation and correlation between households
The recent development of smart meters has allowed the analysis of household electricity
consumption in real time. Predicting electricity consumption at such very low scales should …
consumption in real time. Predicting electricity consumption at such very low scales should …
A time-series compression technique and its application to the smart grid
Time-series data is increasingly collected in many domains. One example is the smart
electricity infrastructure, which generates huge volumes of such data from sources such as …
electricity infrastructure, which generates huge volumes of such data from sources such as …
Smart meter data analytics: Systems, algorithms, and benchmarking
Smart electricity meters have been replacing conventional meters worldwide, enabling
automated collection of fine-grained (eg, every 15 minutes or hourly) consumption data. A …
automated collection of fine-grained (eg, every 15 minutes or hourly) consumption data. A …
[PDF][PDF] Computing Electricity Consumption Profiles from Household Smart Meter Data.
O Ardakanian, N Koochakzadeh… - EDBT/ICDT …, 2014 - webdocs.cs.ualberta.ca
In this paper, we investigate a critical problem in smart meter data mining: computing
electricity consumption profiles. We present a simple, interpretable and practical profiling …
electricity consumption profiles. We present a simple, interpretable and practical profiling …
A divide-and-conquer method for compression and reconstruction of smart meter data
B Liu, Y Hou, W Luan, Z Liu, S Chen, Y Yu - Applied Energy, 2023 - Elsevier
As smart grid sensors, smart meters generate abundant valuable data, laying the foundation
for data-driven applications. However, the data collection brings huge communication …
for data-driven applications. However, the data collection brings huge communication …
Benchmarking smart meter data analytics
Smart electricity meters have been replacing conventional meters worldwide, enabling
automated collection of fine-grained (every 15 minutes or hourly) consumption data. A …
automated collection of fine-grained (every 15 minutes or hourly) consumption data. A …
Applicability of using time series subsequences to study office plug load appliances
Energy management in offices requires efficient methods (eg non-intrusive load monitoring
techniques, NILM) to monitor the large number of workstations and office appliances. The …
techniques, NILM) to monitor the large number of workstations and office appliances. The …
Effective consumption scheduling for demand-side management in the smart grid using non-uniform participation rate
TK Wijaya, TG Papaioannou, X Liu… - … Internet and ICT for …, 2013 - ieeexplore.ieee.org
Periods of peak consumer demand in today's electricity sector are expensive to satisfy and
can be the source of power failures. One possible solution is the use of demand-side …
can be the source of power failures. One possible solution is the use of demand-side …
[HTML][HTML] Comprehensive evaluation of lossless compression algorithms in a real use case for smart grid applications
The so-called “energy digitalization” is pervading the power and energy industry by
providing many state-of-the-art digital technologies to collect, store, and analyze the very …
providing many state-of-the-art digital technologies to collect, store, and analyze the very …