2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.AI2022
Data-Driven Online Interactive Bidding Strategy for Demand Response
Kuan-Cheng Lee, Hong-Tzer Yang, Wenjun Tang
Demand response (DR), as one of the important energy resources in the future's grid, provides the services of peak shaving, enhancing the efficiency of renewable energy utilization…
cs.LG2021
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…
eess.SP2019★ 2 cited
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.…