Deeproof: A data-driven approach for solar potential estimation using rooftop imagery
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 …
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
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 …
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
As electric vehicles (EV) gradually replace traditional fuel vehicles and provide
transportation services in cities, eg, electric taxi/bus fleets, solar-powered charging stations …
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 …
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 …
load curtailment techniques such as demand response have been used for this purpose …
Approximate scheduling of ders with discrete complex injections
Rapid penetration of renewable energy based Distributed Energy Resources (DER) has the
potential to exacerbate the challenges inherent in grid frequency and voltage regulation …
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 …
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 …
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 …
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 …
demand of the consumers. The inertia of the large generators was able to handle any …