Talks
Pt.10 – FCC Workshop on Network Resiliency, Brooklyn Law School, Feb 6, 2013. Topic: Smart Grid Thinking, Innervation, and Infrastructure Threats
Book
- (2008) Computer-Aided Lean Management for the energy industry, PennWell Books
Papers
- Z. Ding, M. K. Turkcan, and A. Boulanger (December 2018) Using an Ancillary Neural Network to Capture Weekends and Holidays in an Adjoint Neural Network Architecture for Intelligent Building Management, arXiv Prepr arXiv190206778.
- (2015) An innovative approach to vehicle electrification for smart cities, Handbook of Research on Social, Economic, and Environmental Sustainability in the Development of Smart Cities, doi:10.4018/978-1-4666-8282-5.ch010
- (2014) Cost-optimal, robust charging of electrically-fueled commercial vehicle fleets via machine learning, 2014 IEEE International Systems Conference Proceedings, p. 65-71, IEEE, url, doi:10.1109/SysCon.2014.6819237
- (2014) Di-BOSS: Research, Development & Deployment of the World’s First Digital Building Operating System, Automated Diagnostics and Analytics for Buildings, p. 109-125, Fairmont Press, chapter url, book url
- (2014) Game theoretic approach to offering participation incentives for electric vehicle-To-Vehicle charge sharing, 2014 IEEE Transportation Electrification Conference and Expo: Components, Systems, and Power Electronics – From Technology to Business and Public Policy, ITEC 2014, Institute of Electrical and Electronics Engineers Inc., url
- (2014) Failure Analysis of the New York City Power Grid, Columbia University Academic Commons, url, doi:10.7916/D8G73CBZ
- (2013) Di-BOSS™: Digital Building Operating System Solution, 2013 Conference on Neural Information Processing Systems (NIPS 2013),
- (2013) A robust solution to the load curtailment problem, IEEE Transactions on Smart Grid 4(4), p. 2209-2219, IEEE, doi:10.1109/TSG.2013.2276754
- (2012) Machine learning for the New York City power grid., IEEE transactions on pattern analysis and machine intelligence 34(2), p. 328-45, url, doi:10.1109/TPAMI.2011.108
- (2012) Refinement of a Support Vector Machine Regression Model for Forecasting Commercial Building Energy Loads: A Use-Phase Approach to Building Energy Efficiency, New York Academy of Sciences Seventh Annual Machine Learning Symposium (Poster)
- (2012) Improving efficiency and reliability of building systems using machine learning and automated online evaluation, 2012 IEEE Long Island Systems, Applications and Technology Conference (LISAT), p. 1-6, url
- (2011) Evaluating Machine Learning for Improving Power Grid Reliability, url
- (2011)Estimation of system reliability using a semiparametric model, IEEE 2011 EnergyTech, p. 1-6, IEEE, url, doi:10.1109/EnergyTech.2011.5948537
- (2011) Forecasting energy demand in large commercial buildings using support vector machine regression, Department of Computer Science, Columbia University, Tech. Rep. CUCS-040-11, url
- (2011) Vehicle Electrification: Status and Issues, Proceedings of the IEEE 99(6), p. 1116-1138, url, doi:10.1109/JPROC.2011.2112750
- (2011) Using Support Vector Machine to Forecast Energy Usage of a Manhattan Skyscraper, AGU Fall Meeting Abstracts 1, p. 984
- (2011) Adaptive Stochastic Control for the Smart Grid, Proceedings of the IEEE 99(6), p. 1098-1115, url, doi:doi: 10.1109/jproc.2011.2109671
- (2009) Ranking Electrical Feeders of the New York Power Grid, 2009 International Conference on Machine Learning and Applications, p. 359-365, IEEE, url, doi:10.1109/ICMLA.2009.99
- (2009) Prospectivity of the Ultra-Deepwater Gulf of Mexico, Lean Energy initiative, Lamont-Doherty Earth Observatory, Columbia University–Palisades, New York 10964, url
- (2009) Estimating the time between failures of electrical feeders in the new york power grid, Next Generation Data Mining Summit, NGDM, url
- (2008) Susceptibility ranking of electrical feeders: A case study, CCLS Technical Reports, url
- (2007) Gas-to-electricity real options can provide deepwater strategic, operational flexibility, Oil & gas journal 105(28), p. 36-42, PennWell Publishing Co. Energy Group, Tulsa, USA, url
- (2006) Lean energy management-II Martingale control of 4D reservoir performance provides constant watch on field profitability, Oil & gas journal 104(19), Pennwell, url
- (2006) Predicting electricity distribution feeder failures using machine learning susceptibility analysis, Proceedings of the National Conference on Artificial Intelligence 2, p. 1705-1711, url
- (2005) Lean energy management-9: Boosting, support vector machines and reinforcement learning in computer-aided lean management, Oil & gas journal 103(18), p. 41-48, PennWell Publishing Co. Energy Group, Tulsa, USA, url
- (2005) Use of matrices in computer-aided lean energy management, Oil and Gas Journal 103(9), p. 34-40, url
- (2005) How Martingale stochastic control navigates computer-aided lean energy management, Oil and Gas Journal 103(35), p. 56-61, url
- (2004) Ultradeepwater suitability matrix helps estimate value of lean processes, Oil and Gas Journal 102(24), p. 35-39, url
- (2004) Smart grids and the American way, Power and Energy, url
- (2004) Knowledge management and computational learning for lean energy management, Oil & gas journal 102(44), p. 36-40, PennWell Publishing Co. Energy Group, Tulsa, USA, url
- (2003) Lean energy management-1: Lean energy management required for economic ultradeepwater development, Oil & gas journal 101(11), p. 47, PennWell Publishing Co. Energy Group, Tulsa, USA, url
- (2003) Enterprise-wide systems integration needed in ultradeepwater operations, Oil & gas journal 101(45), p. 48, PennWell Publishing Co. Energy Group, Tulsa, USA, url
- (2003) Flexible manufacturing techniques make ultradeep water attractive to independents, Oil and Gas Journal 101(33), p. 56-66, url
- (2003) Lean energy management – 2: Ultradeepwater oil-gas development: Designing uncertainty into the enterprise, Oil and Gas Journal 101(20), p. 42-48, url
- (2003) How to realize LEM benefits in ultradeepwater oil and gas, Oil and Gas Journal 101(25), p. 36-43, url
Patents Granted
- (2016) Dynamic contingency avoidance and mitigation system, US, url
- (2015) Decision support control centers, US, url
- (2014) Metrics monitoring and financial validation system (M2FVS) for tracking performance of capital, operations, and maintenance investments to an infrastructure, Google Patents, US, url
- (2014) Machine learning for power grid 2(12), US, url
- (2014) Capital asset planning system, US, url
- (2013) Martingale control of production for optimal profitability of oil and gas fields, US, url
- (2014) Contingency analysis information for utility service network, US, url
- (2011) Systems and methods for martingale boosting in machine learning, US, url
- (2011) System and method for grading electricity distribution network feeders susceptible to impending failure, US, url
- (2008) Innervated stochastic controller for real time business decision-making support, US, url
- (2004) Petroleum reservoir simulation and characterization system and method, US6826483 B1, 30-Nov-2004. US, url
Patent Applications
- (2015) Forecasting system using machine learning and ensemble methods, US, url
- (2014) Adaptive Stochastic Controller for Dynamic Treatment of Cyber-Physical Systems, US, url
- (2014) Total property optimization system for energy efficiency and smart buildings, US, url
- (2014) Adaptive Stochastic Controller for Energy Efficiency and Smart Buildings, US, url
- (2013) Metrics and Semiparametric Model Estimating Failure Rate and Mean time Between Failures, US, url
- (2012) Adaptive stochastic controller for distributed electrical energy storage management, US, url
- (2010) Methods and systems of determining the effectiveness of capital improvement projects, US, url
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