Follow
Ning Zhao
Ning Zhao
Ph.D. Student in Systems Engineering, Cornell University
Verified email at cornell.edu
Title
Cited by
Cited by
Year
Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?
N Zhao, F You
Applied Energy 279, 115889, 2020
1702020
New York State's 100% renewable electricity transition planning under uncertainty using a data-driven multistage adaptive robust optimization approach with machine-learning
N Zhao, F You
Advances in applied energy 2, 100019, 2021
752021
Food-energy-water-waste nexus systems optimization for New York State under the COVID-19 pandemic to alleviate health and environmental concerns
N Zhao, F You
Applied Energy 282, 116181, 2021
542021
Poultry waste valorization via pyrolysis technologies: economic and environmental life cycle optimization for sustainable bioenergy systems
N Zhao, J Lehmann, F You
ACS sustainable chemistry & engineering 8 (11), 4633-4646, 2020
452020
Emerging information and communication technologies for smart energy systems and renewable transition
N Zhao, H Zhang, X Yang, J Yan, F You
Advances in Applied Energy 9, 100125, 2023
342023
Dairy waste-to-energy incentive policy design using Stackelberg-game-based modeling and optimization
N Zhao, F You
Applied energy 254, 113701, 2019
342019
Sustainable power systems operations under renewable energy induced disjunctive uncertainties via machine learning-based robust optimization
N Zhao, F You
Renewable and Sustainable Energy Reviews 161, 112428, 2022
332022
Toward carbon-neutral electric power systems in the New York State: A novel multi-scale bottom-up optimization framework coupled with machine learning for capacity planning at …
N Zhao, F You
ACS Sustainable Chemistry & Engineering 10 (5), 1805-1821, 2021
212021
The growing metaverse sector can reduce greenhouse gas emissions by 10 Gt CO2e in the united states by 2050
N Zhao, F You
Energy & Environmental Science 16 (6), 2382-2397, 2023
112023
The system can't perform the operation now. Try again later.
Articles 1–9