11 citations · 21 across the 4 of their papers we have counts for
4 papers
Characterizing Residential Load Patterns by Household Demographic and Socioeconomic Factors
Zhuo Wei, Hao Wang
The wide adoption of smart meters makes residential load data available and thus improves the understanding of the energy consumption behavior. Many existing studies have focused o…
Machine Learning Approach to Uncovering Residential Energy Consumption Patterns Based on Socioeconomic and Smart Meter Data
Wenjun Tang, Hao Wang, Xian-Long Lee +1
The smart meter data analysis contributes to better planning and operations for the power system. This study aims to identify the drivers of residential energy consumption patterns…
Activity Detection And Modeling Using Smart Meter Data: Concept And Case Studies
Hao Wang, Gonzague Henri, Chin-Woo Tan +1
Electricity consumed by residential consumers counts for a significant part of global electricity consumption and utility companies can collect high-resolution load data thanks to…
Leveraging Socioeconomic Information and Deep Learning for Residential Load Pattern Prediction
Wen-Jun Tang, Xian-Long Lee, Hao Wang +1
Advanced metering infrastructure systems record a high volume of residential load data, opening up an opportunity for utilities to understand consumer energy consumption behaviors.…