Publications

Hong, T. & Hofmann, A. (2022) Data Integrity Attacks Against Outage Management Systems. IEEE Transactions on Engineering Management, 69(3), pp. 765-772. https://doi.org/10.1109/TEM.2021.3055139

Chacra, S.A., Sireli, Y., Cali, U. (2021). A review of worldwide blockchain technology initiatives in the energy sector based on go-to-market strategies. International Journal of Energy Sector Management, https://doi.org/10.1108/IJESM-05-2019-0001 2021, 15(6), pp. 1050–1065.

Huang, YL., Sikder, I. & Xu, G. (2021). Optimal override policy for chemotherapy scheduling template via mixed-integer linear programming. Optimization Letters. in press. https://doi.org/10.1007/s11590-021-01796-z

Liu, Y., Jarvamardi, A., Zhang, Y., Liu, M., Hsiang, S. M., Yang, S., Yu, X.X., & Jiang, Z. (2021). Comparative Study on Perception of Causes for Construction Task Delay in China and the United States. Journal of Construction Engineering and Management, 147(3), 04020176.

Mirzahossein, H., Gholampour, I., Sedghi, M., & Zhu, L. (2021). How realistic is static traffic assignment? Analyzing automatic number-plate recognition data and image processing of real-time traffic maps for investigation. Transportation Research Interdisciplinary Perspectives, 9, 100320. https://doi.org/10.1016/j.trip.2021.100320

Rostami-Tabar, B., Ali, M., Hong, T., Hyndman, R.J.., Porter, M.D., & Syntetos, A. (2021). Forecasting for social good. International Journal of Forecasting, in press. https://doi.org/10.1016/j.ijforecast.2021.02.010

Smith, M., Bader, S., Crotts, B., Sireli, Y. (2021). Conceptional Design of Additive Manufacturing Based Dissimilar Metal Embedded Sensors for TAD Canister Monitoring. Transactions of the American Nuclear Society, vol. 125, no. 1, pp. 214-217. https://doi.org/10.13182/T125-36825.

Smith, M., Bader, S., Crotts, B., Sireli, Y. (2021). Data-based Optimization for Off-loading an SFP via a TAD Canister. Transactions of the American Nuclear Society, vol. 123, no. 1, pp. 211-214. https://doi.org/10.13182/T123-33063.

Zenarosa, G.L., Prokopyev, O.A. & Pasiliao, E.L. (2021) On exact solution approaches for bilevel quadratic 0–1 knapsack problem. Ann Oper Res, 298, 555–572. https://doi.org/10.1007/s10479-018-2970-4

Zhu, L., Zhao, Z., & Wu, G. (2021). Shared Automated Mobility with Demand-Side Cooperation: A Proof-of-Concept Microsimulation Study. Sustainability, 13(5), 2483. https://doi.org/10.3390/su13052483

Adnan, Z. H., & Özelkan, E. C. (2020). Bullwhip effect in pricing under the revenue-sharing contract. Computers & Industrial Engineering, 145, 106528. https://doi.org/10.1016/j.cie.2020.106528

Bracale, A., Caramia, P., De Falco, P., & Hong, T. (2020). A Multivariate Approach to Probabilistic Industrial Load Forecasting. Electric Power Systems Research, 187, 106430. https://doi.org/10.1016/j.epsr.2020.106430

Bracale, A., Caramia, P., De Falco, P., & Hong, T. (2020). Multivariate quantile regression for short-term probabilistic load forecasting. IEEE Transactions on Power Systems, 35(1), 628 – 638. https://doi.org/10.1109/TPWRS.2019.2924224

Xu, G., Semenov, A., & Rysz, M. (2020). An integer programming formulation of the key management problem in wireless sensor networks. Optimization Letters, 14(5), 1037-1051. https://doi.org/10.1007/s11590-019-01465-2

Hong, T. (2020). Forecasting with high frequency data: M4 competition and beyond. International Journal of Forecasting, 36(1), 191-194. https://doi.org/10.1016/j.ijforecast.2019.03.013

Hong, T., Pinson, P., Wang, Y., Weron, R., Yang, D. & Zareipour, H. (2020). Energy Forecasting: A Review and Outlook. IEEE Open Access Journal of Power and Energy, 7, 376-388. https://doi.org/10.1109/OAJPE.2020.3029979

Javanmardi, A., Abbasian-Hosseini, S.A., Liu, M., & Hsiang, S.M. (2020). Improving Effectiveness of Constraints Removal in Construction Planning Meetings: Information-Theoretic Approach. Journal of Construction Engineering and Management, 146(4), https://dx.doi.org/10.1061/(ASCE)CO.1943-7862.0001790

Kezunovic, M., Pinson, P., Obradovic, Z., Grijalva, S., Hong, T., & Bessa, R. (2020). Big data analytics for future electricity grids. Electric Power Systems Research, 189, 106788. https://doi.org/10.1016/j.epsr.2020.106788

Lim, C., Teng, S. G., Al-Ghandour M., & Bowen, F. H. (2020). Let scheduling for funding scenario analysis of highway construction projects with a case of NCDOT. IEEE Transactions on Engineering Management, 67(2), 385 – 395. https://doi.org/10.1109/TEM.2018.2875615

Panamtash, H., Zhou, Q., Hong, T., Qu Z., & Davis, K. (2020). A copula-based Bayesian method for probabilistic solar power forecasting. Solar Energy, 196, 336-345. https://doi.org/10.1016/j.solener.2019.11.079

Sobhani, M., Hong, T., & Martin, C. (2020). Temperature data cleansing for electric load forecasting. International Journal of Forecasting, 36(2), 324-333. https://doi.org/10.1016/j.ijforecast.2019.04.022

Wang, J., Zhou, H., Hong, T., Li, X., & Wang, S. (2020). A multi-granularity heterogeneous combination approach to crude oil price forecasting. Energy Economics, 91, 104790. https://doi.org/10.1016/j.eneco.2020.104790

Yang, D. et al. (2020) Verification of deterministic solar forecasts. Solar Energy, 210, 20-37. https://doi.org/10.1016/j.solener.2020.04.019

Zhang, Y. X., Javanmardi, A., Liu, Y. C., Yang, S. J., Yu, X. X., Hsiang, S. M., Jiang, Z., & Liu, M. (2020). How Does Experience with Delay Shape Managers’ Making-Do Decision: Random Forest Approach.Journal of Management in Engineering, 36(4). https://doi.org/10.1061/(ASCE)ME.1943-5479.0000776

Abbsaian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2019). Social network analysis for construction crews. International Journal of Construction Management, 19(2), 113-127. https://doi.org/10.1080/15623599.2017.1389642

Abuella, M., & Chowdhury, B. H. (2019). Forecasting of solar power ramp events: a post-processing approach. Renewable Energy, 133, 1380-1192. https://doi.org/10.1016/j.renene.2018.09.005

Adnan, Z.H. & Özelkan, E. (2019). Bullwhip effect in pricing under different supply chain game structures. Journal of Revenue and Pricing Management, 18, 393–404. https://doi.org/10.1057/s41272-019-00203-8

Arefi, M., & Chowdhury, B. (2019). Coherency detection of generators using recurrence quantification analysis. Electric Power Systems Research, 169, 162-173. https://doi.org/10.1016/j.epsr.2018.12.017

Bracale, A., Carpinelli, G., De Falco, P., & Hong, T. (2019). Short-term industrial reactive power forecasting. International Journal of Electrical Power & Energy Systems, 107, 177-185. https://doi.org/10.1016/j.ijepes.2018.11.022

Chen, S., Lanzas, C., Lee, C., Zenarosa, G. L., Arif, A. A., & Dulin, M. (2019). Metapopulation model from pathogen’s perspective: A versatile framework to quantify pathogen transfer and circulation between environment and hosts. Scientific reports, 9(1), 1694. https://doi.org/10.1038/s41598-018-37938-0

Hong, T., & Pinson, P. (2019). Energy forecasting in the big data world. International Journal of Forecasting. 35(4), 1387-1388. https://doi.org/10.1016/j.ijforecast.2019.05.004

Hong, T., Xie, J., & Black, J. (2019). Global Energy Forecasting Competition 2017: Hierarchical Probabilistic Load Forecasting. International Journal of Forecasting. 35(4), 1389-1399. https://doi.org/10.1016/j.ijforecast.2019.02.006

Hossan, M.S., Chowdhury, B. (2019). Comparison of Time-Varying Load Models for Estimating CVR Factor and VSF Using Dual-Stage Adaptive Filter. IEEE Transactions on Power Delivery. 24(3). https://doi.org/10.1109/TPWRD.2019.2903167

Hossan, S., & Chowdhury, B. H. (2019). Data-driven fault location scheme for advanced distribution management systems. IEEE Transactions on Smart Grid, 10(5), 5386 – 5396. https://doi.org/10.1109/TSG.2018.2881195

Itiki, R., Di Santo, S.G., Itiki, C., Manjrekar, M., & Chowdhury, B. (2019). A comprehensive review and proposed architecture for offshore power system. 111, 79-92. https://doi.org/10.1016/j.ijepes.2019.04.008

Luo, J., Hong, T., & Fang, S. (2019). Robust regression models for load forecasting. IEEE Transactions on Smart Grid. 10(5), 5397-5404 https://doi.org/10.1109/TSG.2018.2881562

Meng, F., Chowdhury, B., & Hossan, M.S. (2019). Optimal integration of DER and SST in active distribution networks. International Journal of Electrical Power and Energy Systems, 104, 626-634. https://doi.org/10.1016/j.ijepes.2018.07.035

Moghaddam, I. N., Chowdhury, B. H., & Doostan, M. (2019). Optimal sizing and operation of battery energy storage systems connected to wind farms participating in electricity markets. IEEE Transactions on Sustainable Energy, 10(3), 1184-1193. https://doi.org/10.1109/TSTE.2018.2863272

Shuvra, M.A., & Chowdhury, B. (2019). Distributed dynamic grid support using smart PV inverters during unbalanced grid faults, IET renewable Power Generation, 13(4), 598-608. https://doi.org/10.1049/iet-rpg.2018.5761

Sobhani, M., Campbell, A., Sangamwar, S., Li, C., & Hong, T. (2019) Combining weather stations for electric load forecasting. Energies, 12(8), 1510. https://doi.org/10.3390/en12081510

Wang, Y., Chen, Q., Hong, T., & Kang, C. (2019). Review of smart meter data analytics: applications, methodologies, and challenges. IEEE Transactions on Smart Grid, 10(3), 3125-3148. https://doi.org/10.1109/TSG.2018.2818167

Wang, Y., Zhang, N., Tan, Y., Hong, T., Kirschen, D.S., & Kang, C. (2019). Combining probabilistic load forecasts. IEEE Transactions on Smart Grid, 10(4), 3664-3674. https://doi.org/10.1109/TSG.2018.2833869

Xiao, J., Lin, Q., Bai, L., Zhang, X., Zuo, L., Zhou, H., & Li, H. (2019) Security distance for distribution system: Definition, calculation, and application, International Transactions on Electrical Energy Systems, 29(5), e2838. https://doi.org/10.1002/2050-7038.2838

Yue, M., Hong, T., & Wang, J. (2019), Descriptive analytics based anomaly detection for cybersecure load forecasting. IEEE Transactions on Smart Grid, 10(6), 5964 – 5974. https://doi.org/10.1109/TSG.2019.2894334

Zhang, R., Jiang T., Bai, L., Guo, L., Chen, H., Li, X., Li, F. (2019) Adjustable robust power dispatch with combined wind-storage system and carbon capture power plants under low-carbon economy, International Journal of Electrical Power and Energy Systems, 113, 772-281. https://doi.org/10.1016/j.ijepes.2019.05.079

Abuella, M., & Chowdhury, B. (2018). Improving combined solar power forecasts using estimated ramp rates: Data-driven post-processing approach. IET Renewable Power Generation, 12(10), 1127-1135. https://doi.org/10.1049/iet-rpg.2017.0447

An, Q., Fang, S.-C., Li, H.-L., & Nie, T. (2018). Enhanced linear reformulation for engineering optimization models with discrete and bounded continuous variables. Applied Mathematical Modelling, 58, 140-157. https://doi.org/10.1016/j.apm.2017.09.047

Chamana, M., & Chowdhury, B. H. (2018). Optimal voltage regulation of distribution networks with cascaded voltage regulators in the presence of high PV penetration. IEEE Transactions on Sustainable Energy, 9(3), 1427-1436. https://doi.org/10.1109/tste.2017.2788869

Chamana, M., Chowdhury, B. H., & Jahanbakhsh, F. (2018). Distributed control of voltage regulating devices in the presence of high PV penetration to mitigate ramp-rate issues. IEEE Transactions on Smart Grid, 9(2), 1086-1095. https://doi.org/10.1109/tsg.2016.2576405

Demirel, E., Özelkan, E. C., & Lim, C. (2018). Aggregate planning with flexibility requirements profile. International Journal of Production Economics, 202, 45-58. https://doi.org/10.1016/j.ijpe.2018.05.001

He, Q., & Chen, Y. (2018). Dynamic pricing of electronic products with consumer reviews. Omega, 80, 123-134. https://doi.org/10.1016/j.omega.2017.08.014

He, Q., & Chen, Y. (2018). Revenue-maximizing pricing and scheduling strategies in service systems with flexible customers. Operations Research Letters, 46(1), 134-137. https://doi.org/10.1016/j.orl.2017.11.012

He, Q., & Hong, T. (2018). Integrated facility location and production scheduling in multi-generation energy systems. Operations Research Letters, 46(1), 153-157. https://doi.org/10.1016/j.orl.2017.12.001

He, Q., Chen, Y., & Shen, Z. (2018). On the formation of producers’ information-sharing coalitions. Production and Operations Management, 27(5), 917-927. https://doi.org/10.1111/poms.12852

Javanmardi, A., Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2018). Benefit of cooperation among subcontractors in performing high-reliable planning. Journal of Management in Engineering, 34(2), 04017062. https://doi.org/10.1061/(asce)me.1943-5479.0000578

Liu, C., Hong, T., Li, H., & Wang, L. (2018). From club convergence of per capita industrial pollutant emissions to industrial transfer effects: An empirical study across 285 cities in China. Energy Policy, 121, 300-313. https://doi.org/10.1016/j.enpol.2018.06.039

Luo, J., Hong, T., & Fang, S. (2018). Benchmarking robustness of load forecasting models under data integrity attacks. International Journal of Forecasting, 34(1), 89-104. https://doi.org/10.1016/j.ijforecast.2017.08.004

Luo, J., Hong, T., & Yue, M. (2018). Real-time anomaly detection for very short-term load forecasting. Journal of Modern Power Systems and Clean Energy, 6(2), 235-243. https://doi.org/10.1007/s40565-017-0351-7

Meng, F., Chowdhury, B., & Chamanamcha, M. (2018). Three-phase optimal power flow for market-based control and optimization of distributed generations. IEEE Transactions on Smart Grid, 9(4), 3691-3700. https://doi.org/10.1109/tsg.2016.2638963

Mitra, B., Chowdhury, B., & Manjrekar, M. (2018). HVDC transmission for access to off-shore renewable energy: A review of technology and fault detection techniques. IET Renewable Power Generation, 12(13), 1563-1571. https://doi.org/10.1049/iet-rpg.2018.5274

Moghaddam, I. N., Chowdhury, B. H., & Mohajeryami, S. (2018). Predictive operation and optimal sizing of battery energy storage with high wind energy penetration. IEEE Transactions on Industrial Electronics, 65(8), 6686-6695. https://doi.org/10.1109/tie.2017.2774732

Okioga, I. T., Wu, J., Sireli, Y., & Hendren, H. (2018). Renewable energy policy formulation for electricity generation in the United States. Energy Strategy Reviews, 22, 365-384. https://doi.org/10.1016/j.esr.2018.08.008

Özelkan, E. C., Lim, C., & Adnan, Z. H. (2018). Conditions of reverse bullwhip effect in pricing under joint decision of replenishment and pricing. International Journal of Production Economics, 200, 207-223. https://doi.org/10.1016/j.ijpe.2018.03.018

Vatani, B., Chowdhury, B., & Lin, J. (2018). The role of demand response as an alternative transmission expansion solution in a capacity market. IEEE Transactions on Industry Applications, 54(2), 1039-1046 https://doi.org/10.1109/TIA.2017.2785761

Vatani, B., Chowdhury, B., Dehghan, S., & Amjady, N. (2018). A critical review of robust self-scheduling for generation companies under electricity price uncertainty. International Journal of Electrical Power & Energy Systems, 97, 428-439. https://doi.org/10.1016/j.ijepes.2017.10.035

Wang, J., Li, X., Hong, T., & Wang, S. (2018). A semi-heterogeneous approach to combining crude oil price forecasts. Information Sciences, 460-461, 279-292. https://doi.org/10.1016/j.ins.2018.05.026

Xie, J., & Hong, T. (2018). Temperature scenario generation for probabilistic load forecasting. IEEE Transactions on Smart Grid, 9(3), 1680-1687. https://doi.org/10.1109/tsg.2016.2597178

Xie, J., & Hong, T. (2018). Load forecasting using 24 solar terms. Journal of Modern Power Systems and Clean Energy, 6(2), 208-214. https://doi.org/10.1007/s40565-017-0374-0

Xie, J., & Hong, T. (2018). Variable selection methods for probabilistic load forecasting: empirical evidence from seven states of the United States. IEEE Transactions on Smart Grid, 9(6), 6039-6046. https://doi.org/10.1109/tsg.2017.2702751

Xie, J., Chen, Y., Hong, T., & Laing, T. D. (2018). Relative humidity for load forecasting models. IEEE Transactions on Smart Grid, 9(1), 191-198. https://doi.org/10.1109/tsg.2016.2547964