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Mo Chen
Mo Chen
California Air Resources Board
Verified email at arb.ca.gov
Title
Cited by
Cited by
Year
Organophosphorus Flame Retardants in Pregnant Women and Their Transfer to Chorionic Villi
F Zhao, M Chen, F Gao, H Shen, J Hu
Environmental science & technology 51 (11), 6489-6497, 2017
1342017
Occurrence and maternal transfer of chlorinated bisphenol a and nonylphenol in pregnant women and their matching embryos
M Chen, Z Fan, F Zhao, F Gao, D Mu, Y Zhou, H Shen, J Hu
Environmental science & technology 50 (2), 970-977, 2016
632016
Ubiquitous occurrence of chlorinated byproducts of bisphenol A and nonylphenol in bleached food contacting papers and their implications for human exposure
Y Zhou, M Chen, F Zhao, D Mu, Z Zhang, J Hu
Environmental science & technology 49 (12), 7218-7226, 2015
532015
Evaluating the feasibility of using produced water from oil and natural gas production to address water scarcity in California’s Central Valley
M Meng, M Chen, KT Sanders
Sustainability 8 (12), 1318, 2016
382016
The role of household level electricity data in improving estimates of the impacts of climate on building electricity use
M Chen, GA Ban-Weiss, KT Sanders
Energy and Buildings 180, 146-158, 2018
312018
Utilizing smart-meter data to project impacts of urban warming on residential electricity use for vulnerable populations in Southern California
M Chen, GA Ban-Weiss, KT Sanders
Environmental Research Letters 15 (6), 064001, 2020
252020
A new method utilizing smart meter data for identifying the existence of air conditioning in residential homes
M Chen, KT Sanders, GA Ban-Weiss
Environmental Research Letters 14 (9), 094004, 2019
242019
北京女性尿液中双酚 A 及氯代双酚 A 的浓度和风险评价
陈默, 范湛蓝, 高群, 高福梅, 牟迪, 胡建英
中国环境科学 35 (9), 2853-2860, 2015
72015
Levels and risk assessment of bisphenol A and chlorinated BPAs in urine samples of Beijing women.
M Chen, ZL Fan, Q Gao, FM Gao, D Mu, JY Hu
China Environmental Science 35 (9), 2853-2860, 2015
22015
A machine learning framework to estimate residential electricity demand based on smart meter electricity, climate, building characteristics, and socioeconomic datasets
MK Peplinski, B Dilkina, M Chen, SJ Silva, GA Ban-Weiss, KT Sanders
Applied Energy 357, 122413, 2024
12024
Characterizing patterns of residential AC ownership across Southern California in the context of urban warming
MK Peplinski, M Chen, G Ban-Weiss, K Sanders
AGU Fall Meeting Abstracts 2021, A43C-06, 2021
2021
Building machine learning models to predict residential electricity use in Southern California
MK Peplinski, M Chen, B Dilkina, K Sanders, G Ban-Weiss
AGU Fall Meeting Abstracts 2021, GC15E-0751, 2021
2021
Predicting changes in Southern California's residential electricity consumption due to urban warming using machine learning models
M Peplinski, M Chen, B Dilkina, K Sanders, GA Ban-Weiss
AGU Fall Meeting Abstracts 2020, GC092-03, 2020
2020
Identifying potentially vulnerable communities to extreme heat events by characterizing air conditioning penetration patterns in the Southern California region
M Chen, K Sanders, GA Ban-Weiss
AGU Fall Meeting Abstracts 2019, GH34A-07, 2019
2019
Spatial and Socioeconomic Distributions of Electricity-temperature Sensitivities in the Los Angeles Metropolitan Region
M Chen, K Sanders, GA Ban-Weiss
AGU Fall Meeting Abstracts 2018, GC31D-1296, 2018
2018
TrustWorthy AI: Advances, Applications, and Assessing Uncertainties
M Mohegh, GA Ban-Weiss, M Chen
AGU Fall Meeting 2021, 0
A Geospatial Feasibility Assessment of Utilizing Produced Water from Oil and Natural Gas Production in California for Beneficial Use
M Meng, M Chen, KT Sanders
World Environmental and Water Resources Congress 2016, 207-216, 0
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