Identifying household electricity consumption patterns: A case study of Kunshan, China
T Yang, M Ren, K Zhou - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
A case study of residential electricity consumption patterns mining and abnormal user
identification using hierarchical clustering is presented in this paper. First, based on a brief …
identification using hierarchical clustering is presented in this paper. First, based on a brief …
Data analytics for occupancy pattern learning to reduce the energy consumption of HVAC systems in office buildings
A Capozzoli, MS Piscitelli, A Gorrino, I Ballarini… - Sustainable cities and …, 2017 - Elsevier
In the last few years, the collecting and processing of occupancy data have become
emerging issues since they can affect, either directly or indirectly, several energy operations …
emerging issues since they can affect, either directly or indirectly, several energy operations …
Long-term forecasting of hourly electricity load: Identification of consumption profiles and segmentation of customers
Data for aggregated hourly electricity demand shows systematic variations over the day,
week, and seasons, and forecasting of aggregated hourly electricity load has been the …
week, and seasons, and forecasting of aggregated hourly electricity load has been the …
Stochastic load profile construction for the multi-tier framework for household electricity access using off-grid DC appliances
To improve access to electricity, decentralized, solar-based off-grid solutions like Solar
Home Systems (SHSs) and rural micro-grids have recently seen a prolific growth. However …
Home Systems (SHSs) and rural micro-grids have recently seen a prolific growth. However …
Data size reduction with symbolic aggregate approximation for electrical load pattern grouping
A Notaristefano, G Chicco… - IET Generation …, 2013 - Wiley Online Library
Data size reduction techniques may be helpful in the process of categorising the electrical
load consumption patterns on the basis of their shape. Starting from a macro‐class of …
load consumption patterns on the basis of their shape. Starting from a macro‐class of …
Long term forecasting of hourly electricity consumption in local areas in Denmark
FM Andersen, HV Larsen, RB Gaardestrup - Applied energy, 2013 - Elsevier
Long term projections of hourly electricity consumption in local areas are important for
planning of the transmission grid. In Denmark, at present the method used for grid planning …
planning of the transmission grid. In Denmark, at present the method used for grid planning …
Contributions to power Grid system analysis based on clustering techniques
The topic addressed in this article is part of the current concerns of modernizing power
systems by promoting and implementing the concept of smart grid (s). The concepts of smart …
systems by promoting and implementing the concept of smart grid (s). The concepts of smart …
Comparison and clustering analysis of the daily electrical load in eight European countries
This paper illustrates and compares the ability of several clustering algorithms to correctly
associate a given aggregate daily electrical load curve with its corresponding day of the …
associate a given aggregate daily electrical load curve with its corresponding day of the …
Simulating tariff impact in electrical energy consumption profiles with conditional variational autoencoders
The implementation of efficient demand response (DR) programs for household electricity
consumption would benefit from data-driven methods capable of simulating the impact of …
consumption would benefit from data-driven methods capable of simulating the impact of …
Dominant factors for targeted demand side management—An alternate approach for residential demand profiling in developing countries
Demand-side management (DSM) has significant potential to reduce peak electricity
demand to achieve cost-efficient and less-emissions-intensive electricity generation, but …
demand to achieve cost-efficient and less-emissions-intensive electricity generation, but …