Enhancing electrical load profile segmentation for smart campus energy management

No abstract is available for this paper.

• Publication year

  2025

• Venue

  Energy and Buildings

• Publication date

  2025-01-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.enbuild.2024.115232
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A machine learning-based framework for clustering residential electricity load profiles to enhance demand response programs

  2024cited by this paper
• Density-Based Clustering to Deal with Highly Imbalanced Data in Multi-Class Problems

  2023cited by this paper
• An Overview of Emerging and Sustainable Technologies for Increased Energy Efficiency and Carbon Emission Mitigation in Buildings

  2023cited by this paper
• Exploring Clustering Techniques for Analyzing User Engagement Patterns in Twitter Data

  2023cited by this paper
• Combined Gaussian Mixture Model and Pathfinder Algorithm for Data Clustering

  2023cited by this paper
• A comprehensive review on energy management strategy of microgrids

  2023cited by this paper
• Analysis of residential electricity consumption patterns utilizing smart-meter data: Dubai as a case study

  2023cited by this paper
• A Taxonomy of Machine Learning Clustering Algorithms, Challenges, and Future Realms

  2023cited by this paper
• Semi-supervised and un-supervised clustering: A review and experimental evaluation

  2023cited by this paper
• Residential load forecasting based on electricity consumption pattern clustering

  2023cited by this paper
• An Approach to Prosumer Modeling and Financial Assessment with Load Clustering Algorithm in an Active Power Distribution Network

  2023cited by this paper
• Reconstructing hourly residential electrical load profiles for Renewable Energy Communities using non-intrusive machine learning techniques

  2023cited by this paper
• Electricity Pattern Analysis by Clustering Domestic Load Profiles Using Discrete Wavelet Transform

  2022cited by this paper
• A novel cluster-specific analysis framework for demand-side management and net metering using smart meter data

  2022cited by this paper
• A Global Assessment: Can Renewable Energy Replace Fossil Fuels by 2050?

  2022cited by this paper
• A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects

  2022cited by this paper
• Structural Ensemble Regression for Cluster-Based Aggregate Electricity Demand Forecasting

  2022cited by this paper
• Clustering by measuring local direction centrality for data with heterogeneous density and weak connectivity

  2022cited by this paper
• Characterizing Residential Load Patterns on Multi-time Scales Utilizing LSTM Autoencoder and Electricity Consumption Data

  2022cited by this paper
• Clustering commercial and industrial load patterns for long-term energy planning

  2021cited by this paper
• Thermoelectric generators act as renewable energy sources

  2021cited by this paper
• An Embedded Deep-Clustering-Based Load Profiling Framework

  2021cited by this paper
• A data mining-based framework for the identification of daily electricity usage patterns and anomaly detection in building electricity consumption data

  2020cited by this paper
• Pattern simulation and analysis of generalized load profile coupling with active load and renewable energy power

  2020cited by this paper
• A comparative study of clustering techniques for electrical load pattern segmentation

  2020cited by this paper
• Cluster analysis and prediction of residential peak demand profiles using occupant activity data

  2020cited by this paper
• A Moving Shape-based Robust Fuzzy K-modes Clustering Algorithm for Electricity Profiles

  2020cited by this paper
• Classification of daily electric load profiles of non-residential buildings

  2020cited by this paper
• Comparison of clustering approaches for domestic electricity load profile characterisation - Implications for demand side management

  2019cited by this paper
• Electricity load forecasting using clustering and ARIMA model for energy management in buildings

  2019cited by this paper
• Optimal Clustering and Cluster Identity in Understanding High-Dimensional Data Spaces with Tightly Distributed Points

  2019cited by this paper
• Clustering of residential electricity customers using load time series

  2019cited by this paper
• Energy management methodology for energy sustainable actions in University of Campinas - Brazil

  2019cited by this paper
• Identification of typical building daily electricity usage profiles using Gaussian mixture model-based clustering and hierarchical clustering

  2018cited by this paper
• A survey on addressing high-class imbalance in big data

  2018cited by this paper
• Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

  2018cited by this paper
• Clustering-based undersampling in class-imbalanced data

  2017cited by this paper
• Household monthly electricity consumption pattern mining: A fuzzy clustering-based model and a case study

  2017cited by this paper
• Identifying outliers of non-Gaussian groundwater state data based on ensemble estimation for long-term trends

  2017cited by this paper
• Smart meter data clustering using consumption indicators: responsibility factor and consumption variability

  2017cited by this paper
• Electric load shape benchmarking for small- and medium-sized commercial buildings

  2017cited by this paper
• Dynamic clustering of residential electricity consumption time series data based on Hausdorff distance

  2016cited by this paper
• Clustering algorithms: A comparative approach

  2016cited by this paper
• LocED: Location-aware Energy Disaggregation Framework

  2015cited by this paper
• A data-mining-based methodology to support MV electricity customers’ characterization

  2015cited by this paper
• A clustering approach to domestic electricity load profile characterisation using smart metering data

  2015cited by this paper
• The ECO data set and the performance of non-intrusive load monitoring algorithms

  2014cited by this paper

• Self-supervised learning for advanced load profile segmentation in distribution networks

  2026cites this paper
• Modeling and Estimating Standard Deviation of Active Power Demand Using a Multi-Model Stacking Regressor

  2025cites this paper
• Privacy- Preserving Prosumer Profiling using Smart Meter Data

  2025cites this paper
• Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models

  2025cites this paper
• Study on the optimization allocation method of distributed energy storage in an active distribution network taking into account transmission betweenness and source-network-load synergy

  2025cites this paper
• Decoupled self-supervised deep multi-task learning framework for subscriber portrait in smart meter

  2025cites this paper
• Impact of Heatwaves on Distribution Transformers in a Brazilian Smart Campus

  2025cites this paper
• Learning interpretable dynamics: Influence-based clustering of energy consumption time series

  2025cites this paper