Items/Page: Sort: |
| A data-driven study of thermostat overrides during demand response events [期刊论文] Energy Policy, 2021-01-01, 153 Sarran L.; Gunay H.B.; O'Brien W.; Hviid C.A.; Rode C. View/Download:0/0 |
| Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data [期刊论文] Atmospheric Environment, 2020-01-01, 224 Qin K.; Han X.; Li D.; Xu J.; Li D.; Loyola D.; Zhou X.; Xue Y.; Zhang K.; Yuan L. View/Download:25/0 |
| Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文] Atmospheric Environment, 2020-01-01, 224 Mandal S.; Madhipatla K.K.; Guttikunda S.; Kloog I.; Prabhakaran D.; Schwartz J.D.; GeoHealth Hub India Team View/Download:8/0 |
| Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California [期刊论文] Atmospheric Environment, 2020-01-01, 223 Weissert L.; Alberti K.; Miles E.; Miskell G.; Feenstra B.; Henshaw G.S.; Papapostolou V.; Patel H.; Polidori A.; Salmond J.A.; Williams D.E. View/Download:17/0 |
| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文] Atmospheric Environment, 2020-01-01, 222 Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H. View/Download:12/0 |
| Satellite-based estimation of surface NO2 concentrations over east-central China: A comparison of POMINO and OMNO2d data [期刊论文] Atmospheric Environment, 2020-01-01, 224 Qin K.; Han X.; Li D.; Xu J.; Li D.; Loyola D.; Zhou X.; Xue Y.; Zhang K.; Yuan L. View/Download:30/0 |
| Ensemble averaging based assessment of spatiotemporal variations in ambient PM2.5 concentrations over Delhi, India, during 2010–2016 [期刊论文] Atmospheric Environment, 2020-01-01, 224 Mandal S.; Madhipatla K.K.; Guttikunda S.; Kloog I.; Prabhakaran D.; Schwartz J.D.; GeoHealth Hub India Team View/Download:14/0 |
| Low-cost sensor networks and land-use regression: Interpolating nitrogen dioxide concentration at high temporal and spatial resolution in Southern California [期刊论文] Atmospheric Environment, 2020-01-01, 223 Weissert L.; Alberti K.; Miles E.; Miskell G.; Feenstra B.; Henshaw G.S.; Papapostolou V.; Patel H.; Polidori A.; Salmond J.A.; Williams D.E. View/Download:32/0 |
| A comparison of statistical and machine learning methods for creating national daily maps of ambient PM2.5 concentration [期刊论文] Atmospheric Environment, 2020-01-01, 222 Berrocal V.J.; Guan Y.; Muyskens A.; Wang H.; Reich B.J.; Mulholland J.A.; Chang H.H. View/Download:18/0 |
| Examining the feasibility of using open data to benchmark building energy usage in cities: A data science and policy perspective [期刊论文] Energy Policy, 2020-01-01, 139 Roth J.; Lim B.; Jain R.K.; Grueneich D. View/Download:0/0 |