Assessing the performance of physical transposition models in photovoltaic power forecasting: A comprehensive micro and macro accuracy analysis
Accurate power prediction is crucial for the design, simulation, and performance assessment of Photovoltaic (PV) systems. Achieving this accuracy relies significantly on the precise plane-of-array (POA) irradiance data, which is seldom directly measured. To mitigate this limitation, transposition mo...
Saved in:
| Main Authors: | Eslam Mahmoudi, João Lucas de Souza Silva, Tárcio André dos Santos Barros |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-10-01
|
| Series: | Energy Conversion and Management: X |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590174524002708 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Impact of All-Sky Assimilation of Multichannel Observations from Fengyun-3F MWHS-II on Typhoon Forecasting
by: Tianheng Wang, et al.
Published: (2025-06-01) -
Enhanced Ultra-Short-Term PV Forecasting Using Sky Imagers: Integrating MCR and Cloud Cover Estimation
by: Weixiong Wu, et al.
Published: (2024-12-01) -
The Combination Application of FY-4 Satellite Products on Typhoon Saola Forecast on the Sea
by: Chun Yang, et al.
Published: (2024-11-01) -
Automatic Detection and Classification of Aurora in THEMIS All‐Sky Images
by: Jeremiah W. Johnson, et al.
Published: (2024-12-01) -
A Hybrid Framework for Photovoltaic Power Forecasting Using Shifted Windows Transformer-Based Spatiotemporal Feature Extraction
by: Ping Tang, et al.
Published: (2025-06-01)