Deeproof: A data-driven approach for solar potential estimation using rooftop imagery

S Lee, S Iyengar, M Feng, P Shenoy… - Proceedings of the 25th …, 2019 - dl.acm.org
Rooftop solar deployments are an excellent source for generating clean energy. As a result,
their popularity among homeowners has grown significantly over the years. Unfortunately …

A cooperative multi-agent deep reinforcement learning framework for real-time residential load scheduling

C Zhang, SR Kuppannagari, C Xiong… - Proceedings of the …, 2019 - dl.acm.org
Internet-of-Things (IoT) enabled monitoring and control capabilities are enabling increasing
numbers of household users with controllable loads to actively participate in smart grid …

Sac: Solar-aware e-taxi fleet charging coordination under dynamic passenger mobility

Y Yuan, Y Zhao, S Lin - … 60th IEEE Conference on Decision and …, 2021 - ieeexplore.ieee.org
As electric vehicles (EV) gradually replace traditional fuel vehicles and provide
transportation services in cities, eg, electric taxi/bus fleets, solar-powered charging stations …

Optimal net-load balancing in smart grids with high PV penetration

SR Kuppannagari, R Kannan… - Proceedings of the 4th …, 2017 - dl.acm.org
Mitigating mismatches in supply demand curve is critical for smooth power grid operation.
Traditionally, load curtailment techniques such as Demand Response (DR) have been used …

Optimal discrete net-load balancing in smart grids with high PV penetration

SR Kuppannagari, R Kannan… - ACM Transactions on …, 2018 - dl.acm.org
Mitigating supply-demand mismatch is critical for smooth power grid operation. Traditionally,
load curtailment techniques such as demand response have been used for this purpose …

Approximate scheduling of ders with discrete complex injections

S Kuppannagari, R Kannan, VK Prasanna - Proceedings of the Tenth …, 2019 - dl.acm.org
Rapid penetration of renewable energy based Distributed Energy Resources (DER) has the
potential to exacerbate the challenges inherent in grid frequency and voltage regulation …

NO-LESS: Near optimal curtailment strategy selection for net load balancing in micro grids

SR Kuppannagari, R Kannan… - 2018 IEEE Power & …, 2018 - ieeexplore.ieee.org
The integration of renewable energy sources such as solar PVs into micro grids has
increased in recent years. However, the intermittent and unpredictable nature of renewable …

DEEP solar: Data DrivEn modeling and analytics for enhanced system layer ImPlementation

Realizing the SETO 2030 mission of reducing solar energy costs to 3-5 c/kWh will require
innovative enabling research on effective, cost-efficient integration of local PV within …

Software-Defined Infrastructure for IoT-based Energy Systems

S Lee - 2019 - scholarworks.umass.edu
Abstract Internet of Things (IoT) devices are becoming an essential part of our everyday
lives. These physical devices are connected to the internet and can measure or control the …

Discrete Optimization for Supply Demand Matching in Smart Grids

SR Kuppannagari - 2018 - search.proquest.com
Traditional power grids consisted of large grid operator owned generators to supply the
demand of the consumers. The inertia of the large generators was able to handle any …