[HTML][HTML] Machine learning for forecasting a photovoltaic (PV) generation system

C Scott, M Ahsan, A Albarbar - Energy, 2023 - Elsevier
To mitigate the carbon print of buildings, they should have on-site renewable energy
generation systems to supply energy for the buildings without relying on the national grid …

Sub-region division based short-term regional distributed PV power forecasting method considering spatio-temporal correlations

W Lai, Z Zhen, F Wang, W Fu, J Wang, X Zhang, H Ren - Energy, 2024 - Elsevier
Accurate regional distributed PV power forecasting provides data support for power grid
management and optimal operation. Distributed PV has the characteristics of large quantity …

[HTML][HTML] Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level

T Cabello-López, M Carranza-García, JC Riquelme… - Applied Energy, 2023 - Elsevier
Renewable energies, such as solar power, offer a clean and cost-effective energy source.
However, their integration into national electricity grids poses challenges due to their …

Recent Trends in Real-Time Photovoltaic Prediction Systems

I Gallardo, D Amor, Á Gutiérrez - Energies, 2023 - mdpi.com
Photovoltaic power forecasting is an important problem for renewable energy integration in
the grid. The purpose of this review is to analyze current methods to predict photovoltaic …

DEST-GNN: A double-explored spatio-temporal graph neural network for multi-site intra-hour PV power forecasting

Y Yang, Y Liu, Y Zhang, S Shu, J Zheng - Applied Energy, 2025 - Elsevier
Accurate forecasting of photovoltaic (PV) power is crucial for real-time grid balancing and
storage system optimization. However, due to the intermittent and fluctuating nature of PV …

A multi-factor combination prediction model of carbon emissions based on improved CEEMDAN

G Li, H Wu, H Yang - Environmental Science and Pollution Research, 2024 - Springer
As the global greenhouse effect intensifies, carbon emissions are gradually becoming a hot
topic of discussion. Accurate carbon emissions prediction is an important foundation to …

[HTML][HTML] Multivariate solar power time series forecasting using multilevel data fusion and deep neural networks

S Almaghrabi, M Rana, M Hamilton, MS Rahaman - Information Fusion, 2024 - Elsevier
Accurate forecasting of regional solar photovoltaic power (SPVP) generation is essential for
efficient energy management and planning. Existing approaches have shown the …

Deep and machine learning models to forecast photovoltaic power generation

S Cantillo-Luna, R Moreno-Chuquen, D Celeita… - Energies, 2023 - mdpi.com
The integration and management of distributed energy resources (DERs), including
residential photovoltaic (PV) production, coupled with the widespread use of enabling …

CGAformer: Multi-scale feature Transformer with MLP architecture for short-term photovoltaic power forecasting

R Chen, G Liu, Y Cao, G Xiao, J Tang - Energy, 2024 - Elsevier
Accurately predicting the output power of photovoltaic (PV) systems is an effective means to
ensure the reliable and economical operation of grid-connected PV systems. Aiming at the …

Adaptation of high spatio-temporal resolution weather/load forecast in real-world distributed energy-system operation

AA Safaei Pirooz, MJ Sanjari, YJ Kim, S Moore… - Energies, 2023 - mdpi.com
Despite significant advances in distributed renewable energy systems (DRES), the
technology still faces several substantial challenges that prevent the large-scale adoption of …