Publications

Fan, Y., Masnadi, M., Jing, L., Ren, B., & Brandt, A. (2025). The pyxis project: A geospatial data system for emission estimation monitoring in the oil and gas industry. Energy and AI, 22, 100601. https://doi.org/10.1016/j.egyai.2025.100601

Sodwatana, M., Saad, D., Ahumada-Paras, M., & Brandt, A. (2025). Appliance decarbonization and its impacts on California’s energy transition. Applied Energy, 390, 125769. https://doi.org/10.1016/j.apenergy.2025.125769

Long, W., Brandt, A., Demayo, T., & Verduzco, L. (2025). Technical Validation of Oil Production Greenhouse Gas Emissions Estimator Using Field Data from Thermal Enhanced Oil Recovery Operations. Energy & Fuels. https://doi.org/10.1021/acs.energyfuels.5c00079

Chen, Z., Zhong, R., Long, W., Tang, H., Wang, A., Liu, Z., Yang, X., Ren, B., Littlefield, J., Koyejo, S., Masnadi, M., & Brandt, A. (2025). Advancing oil and gas emissions assessment through large language model data extraction. Energy and AI, 20, 100481. https://doi.org/10.1016/j.egyai.2025.100481

Saad, D., Sodwatana, M., Sherwin, E., & Brandt, A. (2025). Energy storage in combined gas-electric energy transitions models: The case of California. Applied Energy, 385, 125480. https://doi.org/10.1016/j.apenergy.2025.125480

Aljubran, M., Saad, D., Sodwatana, M., Brandt, A., & Horne, R. (2025). The value of enhanced geothermal systems for the energy transition in California. Sustainable Energy & Fuels. https://doi.org/10.1039/D4SE01520G

Mukherjee, M., Littlefield, J., Khutal, H., Kirchner-Ortiz, K., Davis, K., Jing, L., Ramadan, F., El-Houjeiri, H., Masnadi, M., & Brandt, A. (2025). Greenhouse gas emissions from the US liquefied natural gas operations and shipping through process model based life cycle assessment. Communications Earth & Environment, 6(1), 16. https://doi.org/10.1038/s43247-024-01988-2

Sodwatana, M., Kazi, S., Sundar, K., Brandt, A., & Zlotnik, A. (2024). Locational marginal pricing of energy in pipeline transport of natural gas and hydrogen with carbon offset incentives. International Journal of Hydrogen Energy, 96, 574-588. https://doi.org/10.1016/j.ijhydene.2024.11.191

Nie, Y., Paletta, Q., Scott, A., Pomares, L., Arbod, G., Sgouridis, S., Lasenby, J., & Brandt, A. (2024). Sky image-based solar forecasting using deep learning with heterogeneous multi-location data: Dataset fusion versus transfer learning. Applied Energy, 369, 123467. https://doi.org/10.1016/j.apenergy.2024.123467

Nie, Y., Zelikman, E., Scott, A., Paletta, Q., & Brandt, A. (2024). SkyGPT: Probabilistic ultra-short-term solar forecasting using synthetic sky images from physics-constrained VideoGPT. Advances in Applied Energy, 14, 100172. https://doi.org/10.1016/j.adapen.2024.100172

Chen, Z., El Abbadi, S., Sherwin, E., Burdeau, P., Rutherford, J., Chen, Y., Zhang, Z., & Brandt, A. (2024). Comparing Continuous Methane Monitoring Technologies for High-Volume Emissions: A Single-Blind Controlled Release Study. ACS ES&T Air, 1(8), 871-884. https://doi.org/10.1021/acsestair.4c00015

Negron, A., Kort, E., Plant, G., Brandt, A., Chen, Y., Hausman, C., & Smith, M. (2024). Measurement-based carbon intensity of US offshore oil and gas production. Environmental Research Letters, 19(6), 064027. https://doi.org/10.1088/1748-9326/ad489d

El Abbadi, S., Chen, Z., Burdeau, P., Rutherford, J., Chen, Y., Zhang, Z., Sherwin, E., & Brandt, A. (2024). Technological Maturity of Aircraft-Based Methane Sensing for Greenhouse Gas Mitigation. Environmental Science & Technology, 58(22). https://doi.org/10.1021/acs.est.4c02439

Sherwin, E., Rutherford, J., Zhang, Z., Chen, Y., Wetherley, E., Yakovlev, P., Berman, E., Jones, B., Cusworth, D., Thorpe, A., Ayasse, A., Duren, R., & Brandt, A. (2024). US oil and gas system emissions from nearly one million aerial site measurements. Nature, 627(8003), 328-334. https://doi.org/10.1038/s41586-024-07117-5

Shin, L., Brandt, A., Iancu, D., Mach, K., Field, C., Cho, M.-J., Ng, M., Chey, K., Ram, N., Robinson, T., & Reeves, B. (2024). Climate impacts of digital use supply chains. Environmental Research: Climate, 3(1), 015009. https://doi.org/10.1088/2752-5295/ad22eb

Wang, J., Barlow, B., Funk, W., Robinson, C., Brandt, A., & Ravikumar, A. (2024). Large-Scale Controlled Experiment Demonstrates Effectiveness of Methane Leak Detection and Repair Programs at Oil and Gas Facilities. Environmental Science & Technology, 58(7). https://doi.org/10.1021/acs.est.3c09147

Nie, Y., Li, X., Paletta, Q., Aragon, M., Scott, A., & Brandt, A. (2024). Open-source sky image datasets for solar forecasting with deep learning: A comprehensive survey. Renewable and Sustainable Energy Reviews, 189, 113977. https://doi.org/10.1016/j.rser.2023.113977

Sherwin, E., Rutherford, J., Chen, Y., Aminfard, S., Kort, E., Jackson, R., & Brandt, A. (2023). Single-blind validation of space-based point-source detection and quantification of onshore methane emissions. Scientific Reports, 13, 3836. https://doi.org/10.1038/s41598-023-30761-2

Jing, L., El-Houjeiri, H., Monfort, J.-C., Littlefield, J., Al-Qahtani, A., Dixit, Y., Speth, R., Brandt, A., Masnadi, M., MacLean, H., Peltier, W., Gordon, D., & Bergerson, J. (2022). Understanding variability in petroleum jet fuel life cycle greenhouse gas emissions to inform aviation decarbonization. Nature Communications, 13(1), 7853. https://doi.org/10.1038/s41467-022-35392-1

Zhang, Z., Sherwin, E., Varon, D., & Brandt, A. (2022). Detecting and quantifying methane emissions from oil and gas production: algorithm development with ground-truth calibration based on Sentinel-2 satellite imagery. Atmospheric Measurement Techniques, 15(23), 7155-7169. https://doi.org/10.5194/amt-15-7155-2022