Modelling of AQI related to building space heating energy demand based on big data analytics

Applied Energy

Volumn 203, Issue , 2017, Pages 57-71

  Li, Han ^a   You, Shijun ^a   Zhang, Huan ^a   Zheng, Wandong ^a,b   Zheng, Xuejing ^a   Jia, Jie ^c   Ye, Tianzhen ^a   Zou, Lanjun ^d  

^a TIANJIN UNIVERSITY   (China)

^b CHINA ACADEMY OF BUILDING RESEARCH   (China)

^c TAIYUAN UNIVERSITY OF TECHNOLOGY   (China)

^d PLA Navy 91774   (China)

Author keywords

AQI; Direct pollutant emission; Energy conversion for building space heating; Regenerated pollutant emission; Urban self purifying capacity

Indexed keywords

AIR QUALITY; AIR QUALITY STANDARDS; BIG DATA; BUILDINGS; ENERGY CONVERSION; ERRORS; MATLAB; POLLUTION; PRINCIPAL COMPONENT ANALYSIS; SPACE HEATING;

ATTENUATION COEFFICIENT; BUILDING SPACES; ENERGY-SAVING MEASURES; MEAN ABSOLUTE PERCENTAGE ERROR; NONLINEAR REGRESSION TECHNIQUE; POLLUTANT EMISSION; ROOT MEAN SQUARED ERRORS; URBAN SELF-PURIFYING CAPACITY;

HEATING;

AIR QUALITY; ATMOSPHERIC POLLUTION; BUILDING; DATA PROCESSING; DEMAND ANALYSIS; EMISSION; ENERGY CONSERVATION; ENERGY EFFICIENCY; ENERGY USE; ENVIRONMENTAL IMPACT ASSESSMENT; ENVIRONMENTAL QUALITY; HAZE; HEATING; MODELING; PUBLIC HEALTH; SOFTWARE;

CHINA;

EID: 85020877262     PISSN: 03062619     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apenergy.2017.06.002     Document Type: Article

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