A review of machine learning-based photovoltaic output power forecasting: Nordic context
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 …
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
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 …
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
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 …
need for correct prediction of solar irradiance becomes important. This paper aims towards …
Multivariate strategy using artificial neural networks for seasonal photovoltaic generation forecasting
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 …
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 …
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 …
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 …
(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 …
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 …
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 …
patterns while reducing reliance on fossil fuels. This research paper explores the application …