المؤلفون: Yu Jiang, Xingying Chen, Kun Yu, Yingchen Liao

المصدر: Journal of Modern Power Systems and Clean Energy, Vol 5, Iss 1, Pp 126-133 (2017)

مصطلحات موضوعية: Hybrid method, Multi-step-ahead prediction, Wind power forecast, Boosting algorithm, Time series model, Production of electric energy or power. Powerplants. Central stations, TK1001-1841, Renewable energy sources, TJ807-830

وصف الملف: electronic resource

Relation: https://ieeexplore.ieee.org/document/8944239/; https://doaj.org/toc/2196-5420

URL الوصول: https://doaj.org/article/cc642b84de094c33a10aad9d78b4e63d

المؤلفون: Ping Wang, Xingying Chen, Jun Xie, Yingchen Liao, Haoming Liu

المصدر: 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on. :510-514 Apr, 2008

Relation: 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies

المؤلفون: Haoming Liu, Xingying Chen, Kun Yu Jun Xie, Jun Xie, Kun Yu, Yingchen Liao

المصدر: 2007 IEEE Power Engineering Society General Meeting Power Engineering Society General Meeting, 2007. IEEE. :1-5 Jun, 2007

Relation: 2007 IEEE Power Engineering Society General Meeting

المؤلفون: Yingchen Liao, Qiuwei Wu, Yu Jiang, Jun Xie, Xingying Chen, Kun Yu

المصدر: Chen, X, Jiang, Y, Yu, K, Liao, Y, Xie, J & Wu, Q 2017, ' Combined time-varying forecast based on the proper scoring approach for wind power generation ' The Journal of Engineering, pp. 67-72 . https://doi.org/10.1049/joe.2017.0843

مصطلحات موضوعية: Computer science, 020209 energy, Load forecasting, Combined time-varying forecasting, Energy Engineering and Power Technology, 02 engineering and technology, Point forecasts, computer.software_genre, Wind-power combined forecasts, 0202 electrical engineering, electronic engineering, information engineering, Effective method, Point (geometry), Physics::Atmospheric and Oceanic Physics, Mumerical weather prediction, Weights-based combination, Wind power generation, Proper scoring approach, Power system planning and layout, General Engineering, Wind power plants, Numerical weather prediction, Forecasting error distribution, Data mining, Focus (optics), computer, Software

وصف الملف: application/pdf

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94f930fc4da3954a92079302cde30fb3
https://orbit.dtu.dk/ws/files/142649928/JOE.2017.0843.pdf

المؤلفون: Kun Yu, Xingying Chen, Yingchen Liao, Jiang Yu Jiang Yu

المصدر: 2016 Tsinghua University-IET Electrical Engineering Academic Forum.

مصطلحات موضوعية: Microeconomics, Demand response, Stand-alone power system, Economics, Electricity market, Joint (building), Environmental economics, Energy storage

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::3767ca4cff7ca388c80cf169bb723802
https://doi.org/10.1049/cp.2016.1182

المؤلفون: Yingchen Liao, Xingying Chen, Kun Yu, Yu Jiang

المصدر: 2015 IEEE Power & Energy Society General Meeting.

مصطلحات موضوعية: ComputingMilieux_GENERAL, Electric power system, East coast, Wind power, Meteorology, business.industry, Benchmark (surveying), Environmental science, Electricity market, business, China, Wind speed, Term (time)

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5f3a269913b6f078945b573b179b13f7
https://doi.org/10.1109/pesgm.2015.7285686

المؤلفون: Yingchen Liao, Yu Jiang, Kun Yu, Xingying Chen

المصدر: 2015 IEEE Eindhoven PowerTech.

مصطلحات موضوعية: Electric power system, Stand-alone power system, Mathematical optimization, Wind power, business.industry, Computer science, Joint probability distribution, Photovoltaic system, Electricity market, Conditional probability distribution, business, Solar power

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::03f539c1d1121250dbe1d08ff80d0268
https://doi.org/10.1109/ptc.2015.7232483

المؤلفون: Xingying Chen, Kun Yu, Qingze Wang, Li Ji, Yingchen Liao

المصدر: IOP Conference Series: Materials Science and Engineering. 199:012093

مصطلحات موضوعية: Chiller, Architectural engineering, business.industry, Computer science, 020209 energy, Cooling load, Mode (statistics), 02 engineering and technology, Energy storage, Automotive engineering, Air conditioning, Order (business), 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, business, Terminal equipment, Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::4eb83f9c9ccb9fbba3aba64b7174360e
https://doi.org/10.1088/1757-899x/199/1/012093

المؤلفون: Xingying Chen, Kun Yu, Chen Kai, Yingchen Liao, Gang Wang, Xu Shiming

المصدر: 2013 2nd International Symposium on Instrumentation and Measurement, Sensor Network and Automation (IMSNA).

مصطلحات موضوعية: Production line, Energy conservation, Engineering, Mathematical optimization, Electric power transmission, business.industry, Binary number, Energy consumption, business, Automotive engineering, Energy (signal processing), Energy accounting, Efficient energy use

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::cd690705cfcbccdd51194d32abcf610b
https://doi.org/10.1109/imsna.2013.6743475

المؤلفون: Xingying Chen, Shushu Ma, Yingchen Liao, Chen Kai, Ding Xiaohua, Gang Wang

المصدر: 2013 IEEE International Conference of IEEE Region 10 (TENCON 2013).

مصطلحات موضوعية: Mathematical optimization, Computer science, business.industry, Load forecasting, Sample (statistics), Regression analysis, Machine learning, computer.software_genre, Term (time), Parametric model, Variable weight, Semi parametric regression, Artificial intelligence, business, computer

URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::b29ee0a9ed807c3fadaa568642e28dec
https://doi.org/10.1109/tencon.2013.6719040