[HTML][HTML] Hybrid energy system integration and management for solar energy: A review

T Falope, L Lao, D Hanak, D Huo - Energy Conversion and Management: X, 2024 - Elsevier
The conventional grid is increasingly integrating renewable energy sources like solar
energy to lower carbon emissions and other greenhouse gases. While energy management …

Sundance: Black-box behind-the-meter solar disaggregation

D Chen, D Irwin - Proceedings of the eighth international conference on …, 2017 - dl.acm.org
The increasing penetration of grid-tied solar is complicating utilities' ability to balance
electricity's real-time supply and demand. While advancements in solar forecast modeling …

Shared solar-powered EV charging stations: Feasibility and benefits

S Lee, S Iyengar, D Irwin… - 2016 Seventh International …, 2016 - ieeexplore.ieee.org
Electric vehicles (EV) are growing in popularity as a credible alternative to gas-powered
vehicles. These vehicles require their batteries to be “fueled up” for operation. While EV …

[HTML][HTML] A three-step weather data approach in solar energy prediction using machine learning

TO Falope, L Lao, D Hanak - Renewable Energy Focus, 2024 - Elsevier
Solar energy plays a critical part in lowering CO 2 emissions and other greenhouse gases
when integrated into the grid. Higher solar energy penetration is hindered by its …

Sunspot: Exposing the location of anonymous solar-powered homes

D Chen, S Iyengar, D Irwin, P Shenoy - Proceedings of the 3rd ACM …, 2016 - dl.acm.org
Homeowners are increasingly deploying grid-tied solar systems due to the rapid decline in
solar module prices. The energy produced by these solar-powered homes is monitored by …

AutoPV: Automated photovoltaic forecasts with limited information using an ensemble of pre-trained models

S Meisenbacher, B Heidrich, T Martin, R Mikut… - Proceedings of the 14th …, 2023 - dl.acm.org
Forecasting the power generation of locally distributed PhotoVoltaic plants is vital for the
efficient operation of Smart Grids. The automated design of such models for PV plants …

AutoShare: Virtual community solar and storage for energy sharing

S Lee, P Shenoy, K Ramamritham, D Irwin - Energy Informatics, 2021 - Springer
Residential solar installations are becoming increasingly popular among homeowners.
However, renters and homeowners living in shared buildings cannot go solar as they do not …

A cloud-based black-box solar predictor for smart homes

S Iyengar, N Sharma, D Irwin, P Shenoy… - ACM Transactions on …, 2017 - dl.acm.org
The popularity of rooftop solar for homes is rapidly growing. However, accurately forecasting
solar generation is critical to fully exploiting the benefits of locally generated solar energy. In …

Staring at the sun: a physical black-box solar performance model

D Chen, J Breda, D Irwin - Proceedings of the 5th Conference on …, 2018 - dl.acm.org
Developing accurate solar performance models, which estimate solar output based on a
deployment's unique physical characteristics and weather, is increasingly important as the …

Black-box solar performance modeling: Comparing physical, machine learning, and hybrid approaches

D Chen, D Irwin - ACM SIGMETRICS Performance Evaluation Review, 2017 - dl.acm.org
The increasing penetration of solar power in the grid has motivated a strong interest in
developing real-time performance models that estimate solar output based on a …