A Partnership of UConn and Eversource

Eversource Energy Center





Eversource Energy Center Brochure


Cole T., Wanik D. W., Molthan A., Schultz, L. A, 2016: “Synergistic use of Electric Utility Infrastructure, Ambient Population, and Nighttime Satellite Data to Improve Detection of Power Outages,” Remote Sensing, 2016.

He, J., Wanik, D., Hartman, B., Anagnostou, E., Astitha, M., 2016: “Nonparametric Tree-based Predictive Modeling of Storm Damage to Power Distribution Network.” Risk Analysis. Accepted.

Li, Y., Zhang, P. “Islanding risks analysis for renewable energy penetrated distribution grid,” IEEE Trans. Power Delivery, under preparation, 2016.

Li, Y., Zhang, P., “A reachability method for microgrid dynamic analysis,” IEEE Transactions on Power Systems, under preparation, 2016.

Li, Y., Zhang, P., Ren, L., Orekan, T., “A Geršgorin Theory for Robust Microgrid Stability Analysis,” IEEE PES General Meeting, Boston, July 2016.

Li, Y., Zhang, P., Zhang, L., and Wang, B., “Active synchronous detection of deception attacks in microgrid control systems,” IEEE Trans. Smart Grid, published online on 03 October 2016, DOI: 10.1109/TSG.2016.2614884.

Nardi-Cyrus, N., Worthley, T., Ricard, R. M. “Understanding the barriers to using “Locally Grown” wood in the forest products industry.” 54, 1: On-line, Article 1RIB6. Journal of Extension, Date Published: 2016

Parent, J.R. and J.C. Volin. 2015. “Assessing species-level biases in tree heights estimated from terrain-optimized leaf-off airborne laser scanner (ALS) data.” International Journal of Remote Sensing, 36:2697-2712. DOI:10.1080/01431161.2015.1047047.

Parent, J.R. and J.C. Volin. 2016. “Validating Landsat-based landscape metrics with fine-grained land cover data.” Ecological Indicators, 60:668-677. doi:10.1016/j.ecolind.2015.08.009.

Parent, J.R., D.L. Civco and J.C. Volin. 2015. “A fully-automated approach to land cover mapping with airborne LiDAR and high resolution multispectral imagery in a forested suburban landscape.” ISPRS Journal of Photogrammetry and Remote Sensing, 104:18-29. doi:10.1016/j.isprsjprs.2015.02.012.

Ren, L., Qin, Y., Zhang, P., Wang, B., Luh, P., Li, Y., “SDN-enabled flexible information sharing for resilient network microgrids,” IEEE Trans. Smart Grid, under preparation.

Ren, L., Zhang, P. Li, G. Luh, P. and Serna, C., “Enhancing critical facilities resilience via preventive risk analysis: A practical study”, IEEE Transactions on Power Systems, under preparation.

Shen, X., Anagnostou, E., Mei, Y., Hong, Y., “A Global Distributed Basin Morphometric Dataset”, Nature Scientific Data.

Shen, X., Hong, Y., Anagnostou, E., Zhang, K., Hao, Z., (2016). “An Advanced Distributed Hydrologic Framework-The Development of CREST”, Hydrologic Remote Sensing and Capacity Building, Chapter 7, Editors, Yang Hong, Yu Zhang and Sadiq Ibrahim Khan, CRC Press, pp.127-138, ISBN13:9781780408101.

Shen, X., Hong, Y., Zhang, K., Hao, Z. (2016). “Refining a Distributed Linear Reservoir Routing Method”, Journal of Hydrologic Engineering, DOI: 10.1061/(ASCE)HE.1943-5584.0001442.

Shen, X., Mei, Y., and Anagnostou, E., “A Comprehensive Flood Events Database in Continental United States” Bulletin of the American Meteorological Society, 2016 (Accepted).

Shen, X., Vergara, H. Nikolopoulos, E., Anagnostou, E., Hong, Y., Hao, Z., Zhang, K. and Mao, K., (2016) “GDBC: A Tool for Generating Global-Scale Distributed Basin Morphometry”, Environmental Modelling & Software, vol. 83, pp. 212–223, doi:10.1016/j.envsoft.2016.05.012.

Wanik, D. W., 2016: “Time Series Matching Using Weather Stations to Predict Power Outages, Decision Support Systems,” 2016.

Wanik, D. W., Anagnostou, E. N., Astitha, M., Yang, J., Hartman, B., Frediani, M., Lackmann, G.: “Evaluation of Power Outages in Connecticut during Future Hurricane Sandy Scenarios,” Journal of Applied Meteorology and Climatology, May 2016.

Wanik, D. W., He, J., Layton, T., Anagnostou, E. N., Hartman, B. M., 2016: “Estimated Time of Restoration (ETR) Guidance for Electric Distribution Networks,” Journal of Homeland Security and Emergency Management, Under Review.

Wanik, D., Parent, J., Hartman, B., Anagnostou, E., “Using Vegetation Management and LiDAR Derived Tree Height Information to Predict Hurricane Outages,” Electric Power Systems Research, under preparation, 2016.

Wanik, D.W., Anagnostou, E., Hartman, B., Frediani, M., Astitha, M., 2015: “Storm outage modeling for an electric distribution network in Northeastern USA. Natural Hazards,” 79(2), 1359-1384, doi 10.1007/s11069-015-1908-2.

Ward, J. and Worthley, T. “Stormwise: Integrating arboriculture and silviculture to create storm resilient roadside forests.” Date Published: April (2nd Quarter/Spring) 2016

Yang, J., Astitha, M., Anagnostou, E., Hartman, B., 2016: “Using a Bayesian regression approach on dual-model weather simulations to improve wind speed prediction”, Monthly Weather Review, 2016.

Yang, J., Astitha, M., Anagnostou, E., Hartman, B., 2016: “Using a Bayesian regression approach on dual-model weather simulations to improve wind speed prediction.” Under revision, Journal of Applied Meteorology and Climatology.

Zhang, W., Zhu, J., Liu, H.J., and Niu, H.W. (2015). “Probabilistic capacity assessment of lattice transmission towers under strong wind.” Frontiers in Built Environment. 1:20. doi: 10.3389/fbuil.2015.00020.

Eversource Energy Center  | Address: 261 Glenbrook Road, Unit 3276, Storrs, CT 06269-3276 | E-Mail: eversourceenergycenter@uconn.edu