Search Results - "Sun, Qinfei"

An Islanding Detection Method by Using Frequency Positive Feedback Based on FLL for Single-Phase Microgrid by Qinfei Sun, Guerrero, Josep M., Tianjun Jing, Vasquez, Juan C., Rengang Yang

“…An active islanding detection method based on frequency-locked loop (FLL) for constant power controlled inverter in single-phase microgrid is proposed. This…”
Get full text

Short-Term Load Forecasting Based on Deep Learning for End-User Transformer Subject to Volatile Electric Heating Loads by Chen, Qifang, Xia, Mingchao, Lu, Teng, Jiang, Xichen, Liu, Wenxia, Sun, Qinfei

“…Short-Term Load Forecasting (STLF) for End-User Transformer Level (EUTL) is challenging due to the high penetration of Electric Heating Loads (EHLs), which…”
Get full text

Optimization modeling method for coal-to-electricity heating load considering differential decisions by Chen, Qifang, Xia, Mingchao, Wang, Shan, Wang, Hanyu, Liu, Wenxia, Wang, Zhiqiang, Li, Xianglong, Sun, Qinfei, Niu, Xiangzhi

“…Heating by electricity rather than coal is considered one effective way to reduce environmental problems. Thus, the electric heating load is growing rapidly,…”
Get full text

Real-time digital twin machine learning-based cost minimization model for renewable-based microgrids considering uncertainty by Pan, Mingyu, Xing, Qijing, Chai, Zhichao, Zhao, He, Sun, Qinfei, Duan, Dapeng

“…•This paper examines a reinforcement learning (RL) method that uses 2steps-ahead to schedule the batteries and PV.•Develop an essential architecture to make…”
Get full text

Demand Response Potential Day-Ahead Forecasting Approach Based on LSSA-BPNN Considering the Electricity-Carbon Coupling Incentive Effects by Zhang, Yiran, Ge, Xinxin, Li, Meiyi, Li, Nan, Wang, Fei, Wang, Liyong, Sun, Qinfei

“…In order to address the challenges of global climate change and to achieve the goals of sustainable development, the need for a low-carbon transition of the…”
Get full text

降解草酸盐乳酸菌株的筛选及其酸乳发酵特性 by 刘建利, 何旭, 孙钦飞

“…TS252.54;…”
Get full text

Forecast and analysis of electric heating consumption based on big data platform by Yang Shuo, Sun Qinfei, Zhu Jie, Chen Ping

“…This paper proposed a “coal-to-electricity” energy saving system，which collects a large amount of heating data, users′ behavior data, weather data and houses′…”
Get full text

A Day-ahead Demand Response Potential Forecasting Approach Based on LSSA-BPNN Considering the Electricity-carbon Coupling Incentive Effects by Wang, Liyong, Sun, Qinfei, Li, Meiyi, Ge, Xinxin, Wang, Fei

“…With global warming, the need for a low-carbon transition of the power system is becoming more urgent. Previous DR potential forecasting models for load…”
Get full text

Graph Convolutional Network Based Day-ahead Demand Response Potential Forecasting Model Considering the Spatial-temporal Correlation by Wang, Liyong, Sun, Qinfei, Li, Meiyi, Ge, Xinxin, Wang, Fei, Chen, Songsong, Gong, Taorong

“…Accurate forecasting of demand response (DR) potential is of great significance for load aggregators (LAs)to bid in the DR market and reduce their market…”
Get full text

Economic Optimal Scheduling of Electricity-Hydrogen Coupled Virtual Power Plant Considering Stochastic Flexibility Evaluation by Sun, Qinfei, Li, Xianglong, Wang, Liyong, Wang, Hongbiao, Cao, Xin, Chen, Siqi, Zhang, Kuan

“…Faced with the problem of managing a large number of decentralized distributed energy resources (DERs), the electricity-hydrogen coupled virtual power plant…”
Get full text

Calculation Method for Incremental 'Coal to Electricity' Load and Corresponding Average Distribution Transformer Capacity by Sun, Qinfei, Chen, Ping, Yang, Shuo, Gong, Cheng, Liang, Anqi, Wang, Zhao, Li, Xianglong

“…Distribution network planning is the basis to guarantee reliable operation of 'Coal to Electricity' ('C2E') distribution network. While, as a kind of…”
Get full text

A Novel combined forecasting method for short-term distributed electric heating power load by Chen, Haiyang, Zhu, Jie, Zhang, Baoqun, Ding, Yifeng, Sun, Qinfei, Liang, Anqi, Zhao, Tingting

“…Distributed electric heating have become the main way to surrounding area user in winter, so it is very important to forecast short-term electric heating…”
Get full text