AI-Based Detection of Power Consumption Behavior of People in a Smart City-Reference-Cited by-同舟云学术

AI-Based Detection of Power Consumption Behavior of People in a Smart City

Published:2022-08-24 Issue:3 Volume:51 Page:20220095
ISSN:0090-3973
Container-title:Journal of Testing and Evaluation
language:en
Short-container-title:J. Test. Eval.

Author:

Yang Dongmei¹,Zhang Yueyuan²,He Hongming²

Affiliation:

1. Power Marketing Service and Operation Management Center, Inner Mongolia Power (Group) Co., Ltd, No. 28 of Xilinnan Rd., Hohhot 010000, China (Corresponding author), e-mail: yangdongmei4241412@163.com, https://orcid.org/0000-0002-3610-4843

2. Power Marketing Service and Operation Management Center, Inner Mongolia Power (Group) Co., Ltd, No. 28 of Xilinnan Rd., Hohhot 010000, China

Publisher

ASTM International

Subject

Mechanical Engineering,Mechanics of Materials,General Materials Science

Reference15 articles.

1. Unlocking Energy Flexibility of Municipal Wastewater Aeration Using Predictive Control to Exploit Price Differences in Power Markets;Brok;Applied Energy,2020

2. Commercial Load Profile Sensitivity Analysis to Electricity Tariffs and Battery Characteristics;Biroon;IEEE Transactions on Industry Applications,2020

3. Seasonal Variability of Price Elasticity of Demand of Households Using Zonal Tariffs and Its Impact on Hourly Load of the Power System;Andruszkiewicz;Energy,2020

4. Prediction of Electrical Energy Consumption Based on Machine Learning Technique;Banik;Electrical Engineering,2020

5. Mid-term Electricity Load Prediction Using CNN and Bi-LSTM;Gul;The Journal of Supercomputing,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Improved Convolutional Neural Network Algorithm for Student Behavior Detection in the Classroom;ICST Transactions on Scalable Information Systems;2024-05-02