Publications

Journal papers authored/co-authored by SEEM Faculty

 

articles IN press

 

Abbsaian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2017). Social network analysis for construction crews. International Journal of Construction Management. https://doi.org/10.1080/15623599.2017.1389642

Abuella, M., & Chowdhury, B. H. (2018). Forecasting of solar power ramp events: a post-processing approach. Renewable Energy. https://doi.org/10.1016/j.renene.2018.09.005

Hossan, S., & Chowdhury, B. H. (2018). Data-driven fault location scheme for advanced distribution management systems. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2018.2881195

Lim, C., Teng, S. G., Al-Ghandour M., & Bowen, F. H. (2018). Let scheduling for funding scenario analysis of highway construction projects with a case of NCDOT. IEEE Transactions on Engineering Management. https://doi.org/10.1109/TEM.2018.2875615

Luo, J., Hong, T., & Fang, S. (2018). Robust regression models for load forecasting. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2018.2881562

Moghaddam, I. N., Chowdhury, B. H., & Doostan, M. (2018). Optimal sizing and operation of battery energy storage systems connected to wind farms participating in electricity markets. IEEE Transactions on Sustainable Energy. https://doi.org/10.1109/TSTE.2018.2863272

Wang, Y., Chen, Q., Hong, T., & Kang, C. (2018). Review of smart meter data analytics: applications, methodologies, and challenges. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2018.2818167

Wang, Y., Zhang, N., Tan, Y., Hong, T., Kirschen, D.S., & Kang, C. (2018). Combining probabilistic load forecasts. IEEE Transactions on Smart Grid. https://doi.org/10.1109/TSG.2018.2833869

 

2019

 

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

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

 

2018 (25 PAPERS)

 

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

 

2017 (6 PAPERS)

 

Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2017). Social network conformity and construction work plan reliability. Automation in Construction, 78, 1-12. https://doi.org/10.1016/j.autcon.2017.01.004

Doostan, M., & Chowdhury, B. H. (2017). Power distribution system fault cause analysis by using association rule mining. Electric Power Systems Research, 152, 140-147. https://doi.org/10.1016/j.epsr.2017.07.005

He, Q. (2017). Virtual items trade in online social games. International Journal of Production Economics, 187, 1-14. https://doi.org/10.1016/j.ijpe.2017.02.009

Liu, B., Nowotarski, J., Hong, T., & Weron, R. (2017). Probabilistic load forecasting via quantile regression averaging on sister forecasts. IEEE Transactions on Smart Grid, 8(2), 730-737. https://doi.org/10.1109/tsg.2015.2437877

Xie, J., & Hong, T. (2017). Wind speed for load forecasting models. Sustainability, 9(5), 795. https://doi.org/10.3390/su9050795

Xie, J., Hong, T., Laing, T., & Kang, C. (2017). On normality assumption in residual simulation for probabilistic load forecasting. IEEE Transactions on Smart Grid, 8(3), 1046-1053. https://doi.org/10.1109/tsg.2015.2447007

 

2016 (8 PAPERS)

 

Hajifathalian, K., Howell, G., Wambeke, B. W., Hsiang, S. M., & Liu, M. (2016). “Oops” simulation: cost-benefits trade-off analysis of reliable planning for construction activities. Journal of Construction Engineering and Management, 142(8), 04016030. https://doi.org/10.1061/(asce)co.1943-7862.0001135

Hong, T., & Fan, S. (2016). Probabilistic electric load forecasting: a tutorial review. International Journal of Forecasting, 32(3), 914-938. https://doi.org/10.1016/j.ijforecast.2015.11.011

Hong, T., Pinson, P., Fan, S., Zareipour, H., Troccoli, A., & Hyndman, R. J. (2016). Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond. International Journal of Forecasting, 32(3), 896-913. https://doi.org/10.1016/j.ijforecast.2016.02.001

Javanmardi, A., Abbasian-Hosseini, S. A., Liu, M., & Hsiang, S. M. (2016). Analysis of workflow variabilitys impacts on trade and project performance. Procedia Engineering, 145, 281-287. https://doi.org/10.1016/j.proeng.2016.04.075

Joshi, V., Lim, C., & Teng, S. G. (2016). Simulation study: improvement for non-urgent patient processes in the emergency department. Engineering Management Journal, 28(3), 145-157. https://doi.org/10.1080/10429247.2016.1199746

Nowotarski, J., Liu, B., Weron, R., & Hong, T. (2016). Improving short term load forecast accuracy via combining sister forecasts. Energy, 98, 40-49. https://doi.org/10.1016/j.energy.2015.12.142

Wang, P., Liu, B., & Hong, T. (2016). Electric load forecasting with recency effect: a big data approach. International Journal of Forecasting, 32(3), 585-597. https://doi.org/10.1016/j.ijforecast.2015.09.006

Xie, J., & Hong, T. (2016). GEFCom2014 probabilistic electric load forecasting: an integrated solution with forecast combination and residual simulation. International Journal of Forecasting, 32(3), 1012-1016. https://doi.org/10.1016/j.ijforecast.2015.11.005

 

2015 (10 PAPERS)

 

Baggu, M. M., Chowdhury, B. H., & Kimball, J. W. (2015). Comparison of advanced control techniques for grid side converter of doubly-fed induction generator back-to-back converters to improve power quality performance during unbalanced voltage dips. IEEE Journal of Emerging and Selected Topics in Power Electronics, 3(2), 516-524. https://doi.org/10.1109/jestpe.2014.2359205

Futrell, B. J., Ozelkan, E. C., & Brentrup, D. (2015). Bi-objective optimization of building enclosure design for thermal and lighting performance. Building and Environment, 92, 591-602. https://doi.org/10.1016/j.buildenv.2015.03.039

Futrell, B. J., Ozelkan, E. C., & Brentrup, D. (2015). Optimizing complex building design for annual daylighting performance and evaluation of optimization algorithms. Energy and Buildings, 92, 234-245. https://doi.org/10.1016/j.enbuild.2015.01.017

Hong, T., Wang, P., & White, L. (2015). Weather station selection for electric load forecasting. International Journal of Forecasting, 31(2), 286-295. https://doi.org/10.1016/j.ijforecast.2014.07.001

Kim, D., Bowen, J. D., & Ozelkan, E. C. (2015). Optimization of wastewater treatment plant operation for greenhouse gas mitigation. Journal of Environmental Management, 163, 39-48. https://doi.org/10.1016/j.jenvman.2015.07.005

Lim, C., Sherali, H. D., & Glickman, T. S. (2015). Cost-of-quality optimization via zero-one polynomial programming. IIE Transactions, 47(3), 258-273. https://doi.org/10.1080/0740817x.2014.928964

Ozelkan, E., Bagis, S., Ozelkan, E. C., Ustundag, B. B., Yucel, M., & Ormeci, C. (2015). Spatial interpolation of climatic variables using land surface temperature and modified inverse distance weighting. International Journal of Remote Sensing, 36(4), 1000-1025. https://www.tandfonline.com/doi/full/10.1080/01431161.2015.1007248

Raghavan, S., & Chowdhury, B. (2015). State diagram-based life cycle management plans for power plant components. IEEE Transactions on Smart Grid, 6(2), 965-972. https://doi.org/10.1109/tsg.2015.2390232

Russell, M. M., Liu, M., & Hsiang, S. M. (2015) Planning for uncertainty: use of structural equation modelling to determine the causal structure of time buffer allocation, Construction Management and Economics, 33(10), 783-798. https://www.tandfonline.com/doi/abs/10.1080/01446193.2015.1137335

Xie, J., Hong, T., & Stroud, J. (2015). Long-term retail energy forecasting with consideration of residential customer attrition. IEEE Transactions on Smart Grid, 6(5), 2245-2252. https://doi.org/10.1109/tsg.2014.2388078

 

2014 (5 PAPERS)

 

Hong, T., & Wang, P. (2014). Fuzzy interaction regression for short term load forecasting. Fuzzy Optimization and Decision Making, 13(1), 91-103. https://doi.org/10.1007/s10700-013-9166-9

Okioga, I., Sireli, Y., & Storms, T. (2014). Energy saving goals and target setting for combined heat and power systems: a study based on data analysis of wastewater treatment plants in the U.S. International Journal of Energy Science, 4(4), 132. https://doi.org/10.14355/ijes.2014.0404.03

Ozelkan, E. C., & Mayhorn, J. (2014). Using lean six sigma methodology to empower students for executing departmental initiatives. International Journal of Six Sigma and Competitive Advantage, 8(3/4), 176. https://doi.org/10.1504/ijssca.2014.067548

Ozelkan, E., Bagis, S., Ozelkan, E. C., Ustundag, B. B., & Ormeci, C. (2014). Land surface temperature retrieval for climate analysis and association with climate data. European Journal of Remote Sensing, 47(1), 655-669. https://doi.org/10.5721/eujrs20144737

Rasheduzzaman, M., Chowdhury, B. H., & Bhaskara, S. (2014). Converting an old machines lab into a functioning power network with a microgrid for education. IEEE Transactions on Power Systems, 29(4), 1952-1962. https://doi.org/10.1109/tpwrs.2014.2304537