A Partnership of UConn and Eversource

Eversource Energy Center

 

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Outreach

Brochure

Eversource Energy Center Brochure

Publications

Wanik D., J. Parent, E. N. Anagnostou, B. M. Hartman, 2017: Using Vegetation
Management and LiDAR-Derived Tree Height Data to Improve Outage Predictions
for Electric Utilities, Electric Power Systems Research, Volume 146, Pages 236–245.

Cerrai D., E.N. Anagnostou, et al. Improving Predictability of Storm Power Outages by
Evaluating a New Representation of Weather and Vegetation in Non-parametric Modeling,
Reliability Engineering and System Safety (submitted)

Wanik D., T. Layton, E. N. Anagnostou, B. M. Hartman, 2017: Estimated Time of
Restoration (ETR) Guidance for Electric Distribution Networks, Journal of Homeland
Security and Emergency Management (in press).

Frediani M., T. Hopson, J. Hacker, E.N. Anagnostou, L. Monache, F. Vandenberg, 2017:
Object-Based Analog Forecasts for Surface Wind Speed, Monthly Weather Review, Vol 145
(12), 10.1175/MWR-D- 17-0012.1

Wanik D., E.N. Anagnostou, M. Astitha, B. M. Hartman, M. E. B. Frediani, G. M. Lackmann,
Jichao He, J. Yang, 2017: A Case Study on Power Outage Impacts from Future Hurricane
Sandy Scenarios, Journal of Applied Meteorology, https://doi.org/10.1175/JAMC-D- 16-
0408.1

Frediani, M. E. B., Hacker, J. P., Anagnostou, E. N., Hopson, T., 2016: Evaluation of PBL
Parameterizations for Modeling Surface Wind Speed During Storms in the Northeast U.S.
Weather and Forecasting, DOI: http://dx.doi.org/10.1175/WAF-D- 15-0139.1

He J., D. W. Wanik, B. M. Hartman, E. N. Anagnostou, M. Astitha, 2016: Nonparametric Tree-
based Predictive Modeling of Storm Damages to Electric Distribution Network, Risk Analysis,
DOI: 10.1111/risa.12652

Wanik D., E. N. Anagnostou, B. M. Hartman, M. E. Frediani, M. Astitha, 2015: Storm Outage
Modeling for an Electric Distribution Network in Northeastern US, Natural Hazards, Volume
79, Issue 2, pp 1359-1384

UCONN Tree Sway Biomechanics Project (pre-thinning tree sway and weather data)
Contributors: Amanda Bunce, John C. Volin, David R. Miller, Jason Parent, Mark Rudnicki
Published. DOI: 10.17632/65z8hkzfz7.2

Yuan, H., W. Zhang, J. Zhu, and A.C. Bagtzoglou, 2018, “Resilience Assessment of
Overhead Power Distribution System under Strong Winds for Hardening Prioritization”,
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil
Engineering (under revision after review).

Borochin, P., and Y. Zhao, 2018, “Identifying Recommended Funding Levels of Power
Grid Resilience Programs”, IEEE Transactions on Power Systems (in review).

Yang, J., M. Astitha, L. Delle Monache, S. Alessandrini, 2017: An Analog technique to
improve storm wind speed prediction using a dual NWP model approach. Monthly
Weather Review (under revision).

J. Yang, M. Astitha, E. Anagnostou, B. Hartman, 2017: Using a Bayesian regression
approach on dual-model weather simulations to improve wind speed prediction. Journal
of Applied Meteorology and Climatology, Vol 56, 1155-1174, DOI: 10.1175/JAMC-D- 16-
0206.1.

Xinyi Shen* and Emmanouil Anagnostou (2017) “A Framework to Improve Hyper-
Resolution Hydrologic Simulation in Snow-Affected Regions”, Journal of Hydrology,vol.552, pp.1-12, DOI:10.1016/j.jhydrol.2017.05.048.

Xinyi Shen, Yiwen Mei and Emmanouil N. Anagnostou*, (2017). “A Comprehensive Flood
Events Database in Continental United States” Bulletin of the American Meteorological
Society, DOI: 10.1175/BAMS-D- 16-0125.1.

 Xinyi Shen*, Emmanouil N. Anagnostou*, Yiwen Mei and Yang Hong (2016), “A Global
Distributed Basin Morphometric Dataset”, Nature-Scientific Data, 4:160124, DOI:
10.1038/sdata.2016.124.

Yiwen Mei, Xinyi Shen and Emmanouil N. Anagnostou*, (2017). “A Synthesis of Space-
time Variability in Multi-component Flood Response” Hydrology and Earth System
Sciences, vol. 21, pp.2277-2299.

Destro E., W. Amponsah, E.I. Nikolopoulos, L. Marchi, F. Marra, D. Zoccatelli and M.
Borga (2018). Coupled prediction of flash flood response and debris flow occurrence:
application on an alpine extreme flood event, Journal of Hydrology, 558, 225-237.

Mei, Y., E.N. Anagnostou, X. Shen, and E.I. Nikolopoulos (2017). Decomposing the
satellite precipitation error propagation through the rainfall-runoff processes. Advances
in Water Resources, 109, 253-266.

Nikolopoulos E.I., E. Destro, V. Maggioni, F. Marra and M. Borga (2017). Satellite-rainfall
estimates for debris flow prediction: An evaluation based on rainfall accumulation-
duration thresholds. Journal of Hydrometeorology, 18(8), 2207-2214.

Maggioni V., E.I. Nikolopoulos, E.N. Anagnostou and M. Borga (2017). Modeling satellite
precipitation errors over mountainous terrain: the influence of gauge density,
seasonality, and temporal resolution, IEEE Transactions on Geosciences and Remote
Sensing, PP(99), 1-11.

Bartsotas N., E.I. Nikolopoulos, E.N. Anagnostou, S. Solomos, G. Kallos (2017). Moving
towards sub-km modeling grid spacings: Impacts on atmospheric and hydrological
simulations of extreme flash-flood inducing storms. Journal of Hydrometeorology,
18(1), 209-226.

Xinyi Shen*, Emmanouil N. Anagnostou, and George H. Allen, “Near Real-Time (NRT)
Flood Inundation Mapping by Synthetic Aperture Radar (SAR)” (under review by
Remote Sensing of Environment).

Xinyi Shen, et. al., “Mapping recent (2016-2017) hurricane and typhoon events triggered
inundation”, (in preparation).

Qing Yang, Xinyi Shen*, Emmanouil N. Anagnostou et. al., “Regional Flood Frequency
Analysis, Sparse Observation or Biased Simulation?” (in preparation).
Xinyi Shen, et al., “Geomorphologic-flood Vulnerability Mapping in the CONUS” (in
preparation).

T. Orekan, P. Zhang, and C. Shih, “Analysis, design and maximum power efficiency
tracking for undersea wireless power transfer,” IEEE Journal of Emerging and Selected
Topics in Power Electronics, published on Aug. 4th, 2017, DOI:
10.1109/JESTPE.2017.2735964.

Y. Li, P. Zhang, L. Zhang, and B. Wang, “Active synchronous detection of deception
attacks in microgrid control systems,” IEEE Trans. Smart Grid, vol. 8, no. 1, pp. 373-375,
Jan. 2017..

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

P. Zhang, P. B. Luh, B. Wang, S. Han, M. Astitha and M. Yue, SD2N: Software-Defined
Distribution Network for Large-Scale Real-Time Deep Integration of Solar Energy, EEC
Anniversary workshop, Oct. 2016.

C. Jin, L. Ren, X. Liu, P. Zhang, and M. van Dijk, “Mitigating synchronized hardware trojan
attacks in smart grids,” EEC Anniversary workshop, Nov. 2017.

Y. Li, P. Zhang, W. Li, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch,
and K. B. Bowes, “Non-detection zone analytics for unintentional islanding in
distribution grid integrated with distributed energy resources,” IEEE Transactions on
Sustainable Energy, under review, 2017.
T. Orekan and P. Zhang, “Modelling and maximum power extraction of a novel smart
wave energy converter,” IEEE Transactions on Industrial Electronics, under review,
2017.

Y. Li, P. Zhang, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B.
Bowes, “A Generic Method for the Determination of Non-Detection Zone in DER-
Dominated Distribution Grids,” IEEE PES General Meeting, 2018, under review.
Y. Li, Z. Tang, A. Herzberg, F. Miao, S. Han, P. Zhang, C. Leigh, “Cyber Physical Security in
Power Utility Grids,” poster on Eversource Energy Center’s Annual Workshop, Nov.
2017.

Y. Li, P. Zhang, J. N. Debs, D. A. Ferrante, D. J. Kane, S. N. Woolard, R. Kalbfleisch, and K. B.
Bowes, “Evaluating Unintentional Islanding Risks in Distribution Grid with Deep
Integration of Distributed Energy Resources,” poster on Eversource Energy Center’s
Annual Workshop, Nov. 2017.

Y. Li, P. Zhang, J. N. Debs, D. A. Ferrante, D. J. Kane, M. Butler, “Integrating Renewable
Generation: Unintentional Islanding and Frequency Response Analysis,” poster on EEC
Internal Meeting, 2016.

Peng Zhang, Zefan Tang, Jaemo Yang, Kunihiro Muto, Xubin Liu, Marina Astitha, Joseph
N. Debs, David A. Ferrante, Devon Marcaurele, Isabelle M. Hazlewood, and Dale Hedman,
“PV Extreme Capacity Factor Analysis,” IEEE PES General Meeting, 2018, under review.

Zefan Tang, Jaemo Yang, Kunihiro Muto, Peng Zhang, Marina Astitha, Joseph N. Debs,
David A. Ferrante, Devon Marcaurele, Isabelle M. Hazlewood, and Dale Hedman, “PV
Extreme Capacity Factor Analysis,” poster on Eversource Energy Center’s Annual
Workshop, Nov. 2017.

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