A clustering approach to domestic electricity load profile characterisation using smart metering data
The availability of increasing amounts of data to electricity utilities through the
implementation of domestic smart metering campaigns has meant that traditional ways of …
implementation of domestic smart metering campaigns has meant that traditional ways of …
Big data analytics for dynamic energy management in smart grids
The smart electricity grid enables a two-way flow of power and data between suppliers and
consumers in order to facilitate the power flow optimization in terms of economic efficiency …
consumers in order to facilitate the power flow optimization in terms of economic efficiency …
Clustering of residential electricity customers using load time series
O Motlagh, A Berry, L O'Neil - Applied energy, 2019 - Elsevier
Clustering of electricity customers supports effective market segmentation and management.
The literature suggests the clustering of residential customers by their load characteristics …
The literature suggests the clustering of residential customers by their load characteristics …
Customer classification and load profiling method for distribution systems
In Finland, customer class load profiles are used extensively in distribution network
calculation. State estimation systems, for example, use the load profiles to estimate the state …
calculation. State estimation systems, for example, use the load profiles to estimate the state …
Dynamic clustering segmentation applied to load profiles of energy consumption from Spanish customers
The following article describes the work of dynamic segmentation of daily load profiles
throughout years 2008 and 2009, of a representative sample of Spanish residential …
throughout years 2008 and 2009, of a representative sample of Spanish residential …
Identification and detection of electricity customer behaviour irregularities
AH Nizar, ZY Dong - 2009 IEEE/PES Power Systems …, 2009 - ieeexplore.ieee.org
The present case study focusing on TNB, Malaysia's largest power utility, concentrates on
load profiles as manifestations of customer behaviour. The main objective here is to base …
load profiles as manifestations of customer behaviour. The main objective here is to base …
Predicting consumer load profiles using commercial and open data
D Vercamer, B Steurtewagen… - … on Power Systems, 2015 - ieeexplore.ieee.org
Automated Metering Infrastructure (AMI) has gradually become commonplace within the
utilities industry and has brought with it numerous improvements in all related fields …
utilities industry and has brought with it numerous improvements in all related fields …
[HTML][HTML] A novel clustering based method for characterizing household electricity consumption profiles
F Rodríguez-Gómez, J del Campo-Ávila… - … Applications of Artificial …, 2024 - Elsevier
A new methodology based on expert knowledge and data mining is proposed to obtain data-
driven models that characterize household consumption profiles. These profiles are useful …
driven models that characterize household consumption profiles. These profiles are useful …
Optimal selection of clustering algorithm via Multi-Criteria Decision Analysis (MCDA) for load profiling applications
Due to high implementation rates of smart meter systems, considerable amount of research
is placed in machine learning tools for data handling and information retrieval. A key tool in …
is placed in machine learning tools for data handling and information retrieval. A key tool in …
[HTML][HTML] A novel methodology for day-ahead buildings energy demand forecasting to provide flexibility services in energy markets
F Rodríguez, E Maqueda, M Fernández… - International Journal of …, 2024 - Elsevier
In future smart grid environment, local energy markets will become a reality to provide
flexibility. Consequently, it will be essential not only to implement accurate energy …
flexibility. Consequently, it will be essential not only to implement accurate energy …