A review of machine learning-based photovoltaic output power forecasting: Nordic context

BD Dimd, S Völler, U Cali, OM Midtgård - IEEE Access, 2022 - ieeexplore.ieee.org
Motivated by factors such as the reduction in cost and the need for a shift towards achieving
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …

Enhanced deep belief network based on ensemble learning and tree-structured of Parzen estimators: An optimal photovoltaic power forecasting method

M Massaoudi, H Abu-Rub, SS Refaat, M Trabelsi… - IEEE …, 2021 - ieeexplore.ieee.org
The random fluctuation and non-uniformity of Photovoltaic (PV) power generation greatly
affect the power grids' stability and operation. This paper addresses the high volatility of PV …

[HTML][HTML] A novel application of Decision Tree classifier in solar irradiance prediction

N Singh, S Jena, CK Panigrahi - Materials Today: Proceedings, 2022 - Elsevier
With an increase in integration of Solar energy in grid due to their environmental benefit, the
need for correct prediction of solar irradiance becomes important. This paper aims towards …

Multivariate strategy using artificial neural networks for seasonal photovoltaic generation forecasting

MO Moreira, BM Kaizer, T Ohishi, BD Bonatto… - Energies, 2022 - mdpi.com
Electric power systems have experienced the rapid insertion of distributed renewable
generating sources and, as a result, are facing planning and operational challenges as new …

[HTML][HTML] A review of the state of the art in solar photovoltaic output power forecasting using data-driven models

AK Gupta, RK Singh - Electrical Engineering, 2024 - Springer
The integration of Photovoltaic (PV) systems into grid has a detrimental effect on grid
stability, dependability, reliability, efficiency, economy, planning and scheduling. Thus, a …

Precise Short-Term Small-Area Sunshine Forecasting for Optimal Seedbed Scheduling in Plant Factories

L Gong, F Huang, W Zhang, Y Li, C Liu - Agriculture, 2023 - mdpi.com
Photosynthesis is one of the key issues for vertical cultivation in plant factories, and efficient
natural sunlight utilization requires predicting the light falling on each seedbed in a real-time …

An evolutionary EMD-FA-ELM approach for short term wind power prediction using wind speed as input

P Satapathy, S Chaine, S Mishra… - 2022 2nd Odisha …, 2022 - ieeexplore.ieee.org
A hybrid method combining Efficient Firefly Algorithm (EFA), Empirical Mode Decomposition
(EMD) and Special Extreme Learning approach (SELM) is presented in this paper for wind …

Short-term Solar Power Prediction using Long Short-Term Memory in Solar Plant with Deep Learning Machine

TN Da, L Yimin, CL Peng, MY Cho… - 2022 6th …, 2022 - ieeexplore.ieee.org
Solar power is a clean energy source that has developed quickly with considerable
attention. Solar energy is required more accurate predictions, which could be integrated into …

LS-SPP: A LSTM-Based Solar Power Prediction Method from Weather Forecast Information

NT Pham, NY Tran-Van, KH Le - 2021 8th NAFOSTED …, 2021 - ieeexplore.ieee.org
Solar radiation is an unlimited source of clean energy with huge exploitation potential. To
effectively exploit this valuable resource, the arrival of the solar forecast has shown an …

Forecasting Renewable Energy Generation: A Predictive Modelling Approach

P Mondal, A Bhatia, R Panjwani… - 2024 2nd International …, 2024 - ieeexplore.ieee.org
India's rapid urbanization demands innovative solutions to address energy consumption
patterns while reducing reliance on fossil fuels. This research paper explores the application …