3 citations · 5 across the 4 of their papers we have counts for
6 papers
Graph Representation Learning for Energy Demand Data: Application to Joint Energy System Planning under Emissions Constraints
Aron Brenner, Rahman Khorramfar, Dharik Mallapragada +1
A rapid transformation of current electric power and natural gas (NG) infrastructure is imperative to meet the mid-century goal of CO2 emissions reduction requires. This necessitat…
Representative period selection for power system planning using autoencoder-based dimensionality reduction
Marc Barbar, Dharik S. Mallapragada
Power sector capacity expansion models (CEMs) that are used for studying future low-carbon grid scenarios must incorporate detailed representation of grid operations. Often CEMs ar…
A Model-Adaptive Clustering Method for Low-Carbon Energy System Optimization
Yuheng Zhang, Vivian Cheng, Dharik S. Mallapragada +2
Intermittent renewable energy resources like wind and solar pose great uncertainty of multiple time scales, from minutes to years, on the design and operation of power systems. Ene…
Impact of demand growth on decarbonizing India's electricity sector and the role for energy storage
Marc Barbar, Dharik S. Mallapragada, Robert Stoner
Global energy sector decarbonization efforts are contingent on technology choices for energy production and end-use in emerging markets such as India, where air conditioning is exp…
Sector coupling via hydrogen to lower the cost of energy system decarbonization
Guannan He, Dharik S. Mallapragada, Abhishek Bose +2
There is growing interest in hydrogen (H) use for long-duration energy storage in a future electric grid dominated by variable renewable energy (VRE) resources. Modelling the r…
Hydrogen Supply Chain Planning with Flexible Transmission and Storage Scheduling
Guannan He, Dharik S. Mallapragada, Abhishek Bose +2
Hydrogen is becoming an increasingly appealing energy carrier, as the costs of renewable energy generation and water electrolysis continue to decline. Developing modelling and deci…