Development of electricity consumption profiles of residential buildings based on smart meter data clustering
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Development of electricity consumption profiles of residential buildings based on smart meter data clustering
Authors
Keywords
Electricity consumption profile, Smart meter, Data clustering, K-means, Fuzzy k-means, Hierarchical, Residential buildings
Journal
ENERGY AND BUILDINGS
Volume 252, Issue -, Pages 111376
Publisher
Elsevier BV
Online
2021-08-21
DOI
10.1016/j.enbuild.2021.111376
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Energy Use Intensity Disaggregation in Institutional Buildings – A Data Analytics Approach
- (2021) Mikhak Samadi et al. ENERGY AND BUILDINGS
- Characterizing patterns and variability of building electric load profiles in time and frequency domains
- (2021) Han Li et al. APPLIED ENERGY
- Spatial disparity and hierarchical cluster analysis of final energy consumption in China
- (2020) Shaobin Wang et al. ENERGY
- Current practices and infrastructure for open data based research on occupant-centric design and operation of buildings
- (2020) Mikkel B. Kjærgaard et al. BUILDING AND ENVIRONMENT
- Disaggregation of commercial building end-uses with automation system data
- (2020) H. Burak Gunay et al. ENERGY AND BUILDINGS
- Classification of daily electric load profiles of non-residential buildings
- (2020) Mathieu Bourdeau et al. ENERGY AND BUILDINGS
- Building characterization through smart meter data analytics: Determination of the most influential temporal and importance-in-prediction based features
- (2020) Behzad Najafi et al. ENERGY AND BUILDINGS
- Predicting intra-day load profiles under time-of-use tariffs using smart meter data
- (2019) Kiguchi Y et al. ENERGY
- Motif-based Association Rule Mining and Clustering Technique for Determining Energy Usage Patterns for Smart Meter Data
- (2019) Nitesh A. Funde et al. Sustainable Cities and Society
- An agglomerative hierarchical clustering-based strategy using Shared Nearest Neighbours and multiple dissimilarity measures to identify typical daily electricity usage profiles of university library buildings
- (2019) Kehua Li et al. ENERGY
- Energy meters evolution in smart grids: A review
- (2019) Danielly B. Avancini et al. JOURNAL OF CLEANER PRODUCTION
- Data-Driven Building Load Profiling and Energy Management
- (2019) Jin Zhu et al. Sustainable Cities and Society
- Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks
- (2019) Oussama Laib et al. ENERGY
- Smart metering in the Netherlands: What, how, and why
- (2019) Pol Van Aubel et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management
- (2019) S. Yilmaz et al. ENERGY
- New methods for clustering district heating users based on consumption patterns
- (2019) Chao Wang et al. APPLIED ENERGY
- Recognition and classification of typical load profiles in buildings with non-intrusive learning approach
- (2019) Marco Savino Piscitelli et al. APPLIED ENERGY
- Cluster analysis and prediction of residential peak demand profiles using occupant activity data
- (2019) Aven Satre-Meloy et al. APPLIED ENERGY
- Estimating electricity impact profiles for building characteristics using smart meter data and mixed models
- (2019) Cameron Roach ENERGY AND BUILDINGS
- Clustering-based analysis for residential district heating data
- (2018) Panagiota Gianniou et al. ENERGY CONVERSION AND MANAGEMENT
- A novel approach for load profiling in smart power grids using smart meter data
- (2018) Zafar A. Khan et al. ELECTRIC POWER SYSTEMS RESEARCH
- Occupancy detection of residential buildings using smart meter data: A large-scale study
- (2018) Rouzbeh Razavi et al. ENERGY AND BUILDINGS
- A shape-based clustering method for pattern recognition of residential electricity consumption
- (2018) Lulu Wen et al. JOURNAL OF CLEANER PRODUCTION
- Daily electricity consumption profiles from smart meters - Proxies of behavior for space heating and cooling
- (2017) João Pedro Gouveia et al. ENERGY
- A method for distinguishing appliance, lighting and plug load profiles from electricity ‘smart meter’ datasets
- (2017) Dane George et al. ENERGY AND BUILDINGS
- Beyond average energy consumption in the French residential housing market: A household classification approach
- (2017) Emmanuel Hache et al. ENERGY POLICY
- Household monthly electricity consumption pattern mining: A fuzzy clustering-based model and a case study
- (2017) Kaile Zhou et al. JOURNAL OF CLEANER PRODUCTION
- Smart meter deployment in Europe: A comparative case study on the impacts of national policy schemes
- (2017) Shan Zhou et al. JOURNAL OF CLEANER PRODUCTION
- A review of demand-side management: Reconsidering theoretical framework
- (2017) A. Fattahi Meyabadi et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Discovering residential electricity consumption patterns through smart-meter data mining: A case study from China
- (2017) Kaile Zhou et al. Utilities Policy
- Understanding electricity consumption: A comparative contribution of building factors, socio-demographics, appliances, behaviours and attitudes
- (2016) Gesche Huebner et al. APPLIED ENERGY
- Cross-domain feature selection and coding for household energy behavior
- (2016) Xing Tong et al. ENERGY
- Classification of new electricity customers based on surveys and smart metering data
- (2016) Joaquim L. Viegas et al. ENERGY
- Unraveling electricity consumption profiles in households through clusters: Combining smart meters and door-to-door surveys
- (2016) João Pedro Gouveia et al. ENERGY AND BUILDINGS
- A survey on smart metering and smart grid communication
- (2016) Yasin Kabalci RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A clustering approach to domestic electricity load profile characterisation using smart metering data
- (2015) Fintan McLoughlin et al. APPLIED ENERGY
- Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels’ CO2 footprint
- (2015) Stella Panayiota Pieri et al. ENERGY AND BUILDINGS
- Pattern recognition algorithms for electricity load curve analysis of buildings
- (2014) Ioannis P. Panapakidis et al. ENERGY AND BUILDINGS
- Fuzziness parameter selection in fuzzy c-means: The perspective of cluster validation
- (2014) KaiLe Zhou et al. Science China-Information Sciences
- People or machines? Assessing the impacts of smart meters and load controllers in Italian office spaces
- (2014) Jacopo Torriti Energy for Sustainable Development
- Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior
- (2013) Amir Kavousian et al. ENERGY
- Characterising domestic electricity consumption patterns by dwelling and occupant socio-economic variables: An Irish case study
- (2012) Fintan McLoughlin et al. ENERGY AND BUILDINGS
- An extensive comparative study of cluster validity indices
- (2012) Olatz Arbelaitz et al. PATTERN RECOGNITION
- Principal component analysis of the electricity consumption in residential dwellings
- (2010) Demba Ndiaye et al. ENERGY AND BUILDINGS
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started