Cluster analysis for occupant-behavior based electricity load patterns in buildings: A case study in Shanghai residences

Assessment of the impact of information feedback of prepaid meter on energy consumption of city residential buildings using bottom-up load modeling approach

(2017) T.R. Ayodele et al.   Sustainable Cities and Society

A generalized probabilistic formula relating occupant behavior to environmental conditions

(2016) Chuang Wang et al.   BUILDING AND ENVIRONMENT

Household electricity demand profiles – A high-resolution load model to facilitate modelling of energy flexible buildings

(2016) Anna Marszal-Pomianowska et al.   ENERGY

Big-data for building energy performance: Lessons from assembling a very large national database of building energy use

(2015) Paul A. Mathew et al.   APPLIED ENERGY

A data-mining approach to discover patterns of window opening and closing behavior in offices

(2014) Simona D'Oca et al.   BUILDING AND ENVIRONMENT

Pattern recognition algorithms for electricity load curve analysis of buildings

(2014) Ioannis P. Panapakidis et al.   ENERGY AND BUILDINGS

Occupant behavior and schedule modeling for building energy simulation through office appliance power consumption data mining

(2014) Jie Zhao et al.   ENERGY AND BUILDINGS

Introducing the prebound effect: the gap between performance and actual energy consumption

(2012) Minna Sunikka-Blank et al.   BUILDING RESEARCH AND INFORMATION

On the Application of Clustering Techniques for Office Buildings' Energy and Thermal Comfort Classification

(2012) Triantafyllia G. Nikolaou et al.   IEEE Transactions on Smart Grid

Customer Classification and Load Profiling Method for Distribution Systems

(2011) Antti Mutanen et al.   IEEE TRANSACTIONS ON POWER DELIVERY

Quantitative description and simulation of human behavior in residential buildings

(2011) Chen Peng et al.   Building Simulation

Hopfield–K-Means clustering algorithm: A proposal for the segmentation of electricity customers

(2010) José J. López et al.   ELECTRIC POWER SYSTEMS RESEARCH

Support Vector Clustering of Electrical Load Pattern Data

(2009) G. Chicco et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Household actions can provide a behavioral wedge to rapidly reduce US carbon emissions

(2009) T. Dietz et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA