Ram Rajagopal
Professor
Applies machine learning, optimization and control to integrating distributed energy resources into power grids.
Ram Rajagopal's lab at Stanford works on physics, climate & scientific computing, learning theory & optimization and distributed, cloud & edge systems. 42 papers since 2023, 5 at top venues, mostly AAAI and Nature Communications. 9 PhD students. 33 alumni. Applications close .
At a glance
- papers, 2023–2026
- 11/ year
- at T1 venues
- 12%
- PhD students
- 9
- MS students
- 0
- alumni listed
- 33
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 15 papers2025 · T1 2
- 10 papers2024 · T1 2
- 17 papers2023 · T1 1
T1 venuesOtherVenues: AAAI, Nature Communications, Nature
Research focuspaper titles that use each topic's words
- Distributed, cloud & edge systems5 papers
- Learning theory & optimization4 papers
- Physics, climate & scientific computing2 papers
- integrating0 papers
- grids0 papers
Paper list
From the lab homepage.
202515 papers
- Nature (T1)Built environment disparities are amplified during extreme weather recovery (opens in a new tab)
- Nature Communications (T1)Cascading marginal emissions signals for green charging with growing electric vehicle adoption (opens in a new tab)
- Applied EnergyCharging electrified commercial vehicle fleets with reduced grid capacity using low-capital-cost depot management strategies (opens in a new tab)
- International Journal of Electrical Power and Energy SystemsDesign and validation of a power modulation system for residential demand-side management (opens in a new tab)
- Applied EnergyDesigning model predictive control strategies for grid-interactive water heaters for load shifting applications (opens in a new tab)
- Energy and BuildingsLarge language model enabled knowledge discovery of building-level electrification using permit data (opens in a new tab)
- Applied EnergyOptimal Coordination of Electric Buses and Battery Storage for Achieving a 24/7 Carbon-Free Electrified Fleet (opens in a new tab)
- Applied EnergyOptimizing software defined battery systems for transformer protection (opens in a new tab)
- Advances in Applied EnergyResidential vehicle-to-grid profits under dynamic pricing: The role of real-world charging behavior (opens in a new tab)
- AGURising US power grid vulnerability to extreme weather: a multi-decadal analysis (opens in a new tab)
- Nature EnergySolar and batteries are affordable options for US households (opens in a new tab)
- Nature EnergySolar and battery can reduce energy costs and provide affordable outage backup for US households (opens in a new tab)
202410 papers
- AAAI (T1)CityPulse: Fine-Grained Assessment of Urban Change with Street View Time Series (opens in a new tab)
- ITECEffects of Vehicle-to-Grid Systems on Transmission Grid Congestion (opens in a new tab)
- Nature EnergyExploring the potential of non-residential solar to tackle energy injustice (opens in a new tab)
- SmartGridCommFast Grid Emissions Sensitivities using Parallel Decentralized Implicit Differentiation (opens in a new tab)
- Energy PolicyFuture-proof rates for controlled electric vehicle charging: Comparing multi-year impacts of different emission factor signals (opens in a new tab)
- IEEE Transactions on Smart GridImproving the Load Flexibility of Stratified Electric Water Heaters: Design and Experimental Validation of MPC Strategies (opens in a new tab)
- Cell Reports SustainabilityPlanning charging stations for 2050 to support flexible electric vehicle demand considering individual mobility patterns (opens in a new tab)
- Proceedings of the ACM International Conference on Future and Sustainable Energy SystemsPrivacy-Preserving Control of Partitioned Energy Resources (opens in a new tab)
- AAAI (T1)Skyscript: A large and semantically diverse vision-language dataset for remote sensing (opens in a new tab)
- Energy PolicyTime of use pricing and likelihood of shifting energy activities, strategies, and timing (opens in a new tab)
202317 papers
- IEEE Transactions on Intelligent Transportation SystemsA System for Automated Vehicle Damage Localization and Severity Estimation Using Deep Learning (opens in a new tab)
- Journal of the European Economic AssociationCan Distributed Intermittent Renewable Generation Reduce Future Grid Investments? Evidence from France (opens in a new tab)
- Energy and BuildingsCooling-Related Electricity Consumption Patterns for Small and Medium Businesses in California: Current Impacts and Future Projections under Climate Change (opens in a new tab)
- JouleCoordinating distributed energy resources for reliability can significantly reduce future distribution grid upgrades and peak load (opens in a new tab)
- Springer NatureData Science and Applications for Modern Power Systems (opens in a new tab)
- IEEE International Conference on Big DataDetecting Neighborhood Gentrification at Scale via Street-level Visual Data (opens in a new tab)
- IEEE Transactions on Power SystemsDynamic Locational Marginal Emissions Via Implicit Differentiation (opens in a new tab)
- IEEE SmartGridCommEquitable dynamic electricity pricing via implicitly constrained dual and subgradient methods (opens in a new tab)
- Applied EnergyEstimating building energy efficiency from street view imagery, aerial imagery, and land surface temperature data (opens in a new tab)
- Applied EnergyEstimating cooling demand flexibility in a district energy system using temperature set point changes from selected buildings (opens in a new tab)
- IEEE Transactions on Smart GridEV-EcoSim: A Grid-Aware Co-Simulation Platform for the Design and Optimization of Electric Vehicle Charging Infrastructure (opens in a new tab)
- EnergyExtreme event counterfactual analysis of electricity consumption in Brazil: Historical impacts and future outlook under climate change (opens in a new tab)
Where alumni went33 listed, 0% to industry
Industry 0Academia 5
Also to
- Arizona State University
- Carnegie Mellon University
- Peking University
Apply to StanfordFall 2027
Stanford Computer Science PhD
- Round
- Single round
- Opens
- GRE
- See program page
- English
- TOEFL/IELTS
- Fee
- See program page
Confirmed on the program page.
Similar labsnearest by research summary
- CNTsinghua
Benben Jiang
- Physics, climate & scientific computing
- CNTsinghua
Heming Yao
- Computational imaging & photography
- USMIT
Regina Barzilay
- Medical imaging & healthcare AI
- CNTsinghua
Fei Qiao
- Accelerators, chips & architecture
- USUW
Sheng Wang
- Medical imaging & healthcare AI
- CAToronto
Ervin Sejdić
- Medical imaging & healthcare AI
Your notes
Save this lab to keep notes.
Data
Checked against the lab homepage.
- Collected
- Verified
- Papers
- The lab homepage
- Members
- Lab homepage
- Alumni
- Lab homepage
Tiers are venue classifications, not lab rankings.
Stanfordcloses