Search Results - "Li, Kangping"

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework by Wang, Fei, Xuan, Zhiming, Zhen, Zhao, Li, Kangping, Wang, Tieqiang, Shi, Min

“…•Photovoltaic power presents volatility, annual periodicity, and adjacent similarity.•Deep learning and time correlation principles are combined in a…”
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Two-Stage Decoupled Estimation Approach of Aggregated Baseline Load Under High Penetration of Behind-the-Meter PV System by Li, Kangping, Yan, Jichuan, Hu, Lin, Wang, Fei, Zhang, Ning

“…Accurate aggregated baseline load (ABL) estimation is critical for the implementation of incentive-based demand response (DR). The increasing penetration of…”
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Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting by Wang, Fei, Yu, Yili, Zhang, Zhanyao, Li, Jie, Zhen, Zhao, Li, Kangping

“…Solar photovoltaic (PV) power forecasting has become an important issue with regard to the power grid in terms of the effective integration of large-scale PV…”
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Point estimation method: Validation, efficiency improvement, and application to embankment slope stability reliability analysis by Chen, Zuyu, Du, Jifang, Yan, Jijun, Sun, Ping, Li, Kangping, Li, Yanlong

“…•Use of binary bits of integers to allocate the sign array in the Rosenbueth method (PEM).•Application of PEM in slope stability analysis by confirming normal…”
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A Distributed PV System Capacity Estimation Approach Based on Support Vector Machine with Customer Net Load Curve Features by Wang, Fei, Li, Kangping, Wang, Xinkang, Jiang, Lihui, Ren, Jianguo, Mi, Zengqiang, Shafie-khah, Miadreza, Catalão, João

“…Most distributed photovoltaic systems (DPVSs) are normally located behind the meter and are thus invisible to utilities and retailers. The accurate information…”
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Achievable Energy Flexibility Forecasting of Buildings Equipped with Integrated Energy Management System by Zhang, Peng, Lu, Xiaoxing, Li, Kangping

“…Buildings' achievable energy flexibility refers to the real load reduction amount in an incentive-based demand response (DR) event, which presents dynamic,…”
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Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting by Kangping Li, Yuqing Wang, Ning Zhang, Fei Wang, Chunyi Huang

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Day-ahead Optimal Joint Scheduling Model of Electric and Natural Gas Appliances for Home Integrated Energy Management by Li, Kangping, Zhang, Peng, Li, Gang, Wang, Fei, Mi, Zengqiang, Chen, Hongyu

“…Home energy management systems (HEMSs) enable residential customers to efficiently participate in demand response programs in order to obtain optimal benefits…”
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Experimental Study on Axial Compression of Concrete with Initial Crack under Hydrostatic Pressure by Chen, Junhao, Li, Yanlong, Wen, Lifeng, Bu, Peng, Li, Kangping

“…The axial compression test of concrete with different initial cracks under hydrostatic pressure is carried out. The fracture propagation is analyzed based on…”
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Natural Resistance-Associated Macrophage Protein (Nramp) Family in Foxtail Millet (Setaria italica): Characterization, Expression Analysis and Relationship with Metal Content under Cd Stress by Yang, Yang, Zheng, Jie, Liang, Yinpei, Wang, Xinyue, Li, Kangping, Chen, Liang, Aduragbemi, Amo, Han, Yuanhuai, Sun, Zhaoxia, Li, Hongying, Hou, Siyu

“…The excessive content of heavy metals and the deficiency of beneficial trace elements in cereals have threatened global food security and human health. As…”
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Day-Ahead Market Optimal Bidding Strategy and Quantitative Compensation Mechanism Design for Load Aggregator Engaging Demand Response by Wang, Fei, Ge, Xinxin, Li, Kangping, Mi, Zengqiang

“…In a typical electricity market, the load aggregator (LA) bids in the wholesale market to purchase electricity and meet the expected demand of its customers in…”
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Fundamentals and business model for resource aggregator of demand response in electricity markets by Lu, Xiaoxing, Li, Kangping, Xu, Hanchen, Wang, Fei, Zhou, Zhenyu, Zhang, Yagang

“…Demand response (DR) is an effective means to help maintain the balance between power supply and demand, promote energy conservation and emission reduction…”
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Strategic joint bidding and pricing of load aggregators in day-ahead demand response market by Huang, Chunyi, Li, Kangping, Zhang, Ning

“…Load aggregators (LAs) purchase demand response (DR) capacity from users by incentive compensation and then resell them by bidding in the day-ahead DR market…”
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Smart Households' Aggregated Capacity Forecasting for Load Aggregators Under Incentive-Based Demand Response Programs by Wang, Fei, Xiang, Biao, Li, Kangping, Ge, Xinxin, Lu, Hai, Lai, Jingang, Dehghanian, Payman

“…The technological advancement in the communication and control infrastructure helps those smart households (SHs) that more actively participate in the…”
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Day-ahead optimal bidding and scheduling strategies for DER aggregator considering responsive uncertainty under real-time pricing by Wang, Fei, Ge, Xinxin, Yang, Peng, Li, Kangping, Mi, Zengqiang, Siano, Pierluigi, Duić, Neven

“…This paper addresses the optimal decision problem of a distributed energy resources (DER) aggregator who manages wind turbines, solar PV systems and battery…”
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Resilience Oriented Planning of Urban Multi-Energy Systems With Generalized Energy Storage Sources by Huang, Wujing, Zhang, Xi, Li, Kangping, Zhang, Ning, Strbac, Goran, Kang, Chongqing

“…In the last decade, a number of severe urban power outages have been caused by extreme natural disasters, e.g., hurricanes, snowstorms and earthquakes, which…”
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Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation by Li, Kangping, Wang, Fei, Mi, Zengqiang, Fotuhi-Firuzabad, Mahmoud, Duić, Neven, Wang, Tieqiang

“…•A PV-load decoupling framework is proposed to improve the baseline load estimation.•A machine learning approach is proposed to estimate PV capacity from net…”
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PV-Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer With Distributed PV System by Xuan, Zhiming, Gao, Xue, Li, Kangping, Wang, Fei, Ge, Xinxin, Hou, Yunhe

“…Customer baseline load (CBL) estimation is very important in demand response (DR) program. Due to the increasing installation of distributed photovoltaic…”
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Time-Frequency Feature Combination Based Household Characteristic Identification Approach Using Smart Meter Data by Yan, Siqing, Li, Kangping, Wang, Fei, Ge, Xinxin, Lu, Xiaoxing, Mi, Zengqiang, Chen, Hongyu, Chang, Shengqiang

“…Household characteristics play an important role in helping utilities carry out efficient and personalized services. Current methods to obtain such…”
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Online transfer learning-based residential demand response potential forecasting for load aggregator by Li, Kangping, Li, Zhenghui, Huang, Chunyi, Ai, Qian

“…Accurate demand response (DR) potential forecasting is the basis for load aggregators (LA) to make optimal bidding strategies in DR market trading. LAs usually…”
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