Ultra-Short-Term Forecasting of Large Distributed Solar PV Fleets Using Sparse Smart Inverter Data-Reference-Cited by-同舟云学术

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Ultra-Short-Term Forecasting of Large Distributed Solar PV Fleets Using Sparse Smart Inverter Data

Published:2024-07 Issue:3 Volume:15 Page:1968-1980
ISSN:1949-3029
Container-title:IEEE Transactions on Sustainable Energy
language:
Short-container-title:IEEE Trans. Sustain. Energy

Author:

Yue Han¹^ORCID,Ali Musaab Mohammed²^ORCID,Lin Yuzhang³^ORCID,Liu Hongfu¹^ORCID

Affiliation:

1. Michtom School of Computer Science, Brandeis University, Waltham, MA, USA

2. Department of Electrical and Computer Engineering, University of Massachusetts, Lowell, MA, USA

3. Department of Electrical and Computer Engineering, New York University, Brooklyn, NY, USA

Funder

U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy

Solar Energy Technologies Office

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

https://ieeexplore.ieee.org/ielam/5165391/10566086/10504585-aam.pdf

Reference52 articles.

1. Very short-term photovoltaic power forecasting with cloud modeling: A review;Barbieri;Renewable Sustain. Energy Rev.,2017

2. Bayesian Approach for Distribution System State Estimation With Non-Gaussian Uncertainty Models

3. Enhanced state estimation and bad data identification in active power distribution networks using photovoltaic power forecasting;Cheng;Electric Power Syst. Res.,2019

4. Optimal Generation Dispatch With High Penetration of Photovoltaic Generation

5. Distribution Voltage Regulation Through Active Power Curtailment With PV Inverters and Solar Generation Forecasts

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1. Short-Term Forecasts of Energy Generation in a Solar Power Plant Using Various Machine Learning Models, along with Ensemble and Hybrid Methods;Energies;2024-08-24

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