Benjamin Rachunok

Rachunok, B., Verma, A., & Fletcher, S. (2024). Predicting and understanding residential water use with interpretable machine learning. ENVIRONMENTAL RESEARCH LETTERS, 19(1). https://doi.org/10.1088/1748-9326/ad1434

Rachunok, B., & Fletcher, S. (2023). Socio-hydrological drought impacts on urban water affordability. Nature Water. https://doi.org/10.1038/s44221-022-00009-w

Nayak, A., Rachunok, B., Thompson, B., & Fletcher, S. (2023). Socio-hydrological impacts of rate design on water affordability during drought. ENVIRONMENTAL RESEARCH LETTERS, 18(12). https://doi.org/10.1088/1748-9326/ad0994

Bennett, J., Rachunok, B., Flage, R., & Nateghi, R. (2021). Mapping climate discourse to climate opinion: An approach for augmenting surveys with social media to enhance understandings of climate opinion in the United States. PLOS ONE. https://doi.org/10.1371/journal.pone.0245319

Rachunok, B., & Nateghi, R. (2021). Overemphasis on recovery inhibits community transformation and creates resilience traps. Nature Communications. https://doi.org/10.1038/s41467-021-27359-5

Choi, M., Rachunok, B., & Nateghi, R. (2021). Short-term solar irradiance forecasting using convolutional neural networks and cloud imagery. Environmental Research Letters, 16(4), 044045. https://doi.org/10.1088/1748-9326/abe06d

Obringer, R., Rachunok, B., Maia-Silva, D., Arbabzadeh, M., Nateghi, R., & Madani, K. (2021). The overlooked environmental footprint of increasing Internet use. Resources, Conservation and Recycling, 167, 105389. https://doi.org/10.1016/j.resconrec.2020.105389

Kanmani, A. P., Obringer, R., Rachunok, B., & Nateghi, R. (2020). Assessing Global Environmental Sustainability Via an Unsupervised Clustering Framework. Sustainability, 12(2), 563. https://doi.org/10.3390/su12020563

Assessment of wind power scenario creation methods for stochastic power systems operations. (2020). Applied Energy. https://doi.org/10.1016/j.apenergy.2020.114986

Kumar, R., Rachunok, B., Maia-Silva, D., & Nateghi, R. (2020). Asymmetrical response of California electricity demand to summer-time temperature variation. Scientific Reports. https://doi.org/10.1038/s41598-020-67695-y

Alemazkoor, N., Rachunok, B., Chavas, D. R., Staid, A., Louhghalam, A., Nateghi, R., & Tootkaboni, M. (2020). Hurricane-induced power outage risk under climate change is primarily driven by the uncertainty in projections of future hurricane frequency. Scientific Reports. https://doi.org/10.1038/s41598-020-72207-z

The sensitivity of electric power infrastructure resilience to the spatial distribution of disaster impacts. (2020). Reliability Engineering & System Safety. https://doi.org/10.1016/j.ress.2019.106658

Rachunok, B. A., Bennett, J. B., & Nateghi, R. (2019). Twitter and Disasters: A Social Resilience Fingerprint. IEEE Access, 7, 58495–58506. https://doi.org/10.1109/ACCESS.2019.2914797

Stochastic Unit Commitment Performance Considering Monte Carlo Wind Power Scenarios. (2018). 2018 IEEE International Conference on Probabilistic Methods Applied to Power Systems (PMAPS). https://doi.org/10.1109/pmaps.2018.8440563