A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

R Ahmed, V Sreeram, Y Mishra, MD Arif - Renewable and Sustainable …, 2020 - Elsevier
Integration of photovoltaics into power grids is difficult as solar energy is highly dependent
on climate and geography; often fluctuating erratically. This causes penetrations and voltage …

Big data analytics in weather forecasting: A systematic review

M Fathi, M Haghi Kashani, SM Jameii… - … Methods in Engineering, 2022 - Springer
Weather forecasting, as an important and indispensable procedure in people's daily lives,
evaluates the alteration happening in the current condition of the atmosphere. Big data …

Accurate one step and multistep forecasting of very short-term PV power using LSTM-TCN model

T Limouni, R Yaagoubi, K Bouziane, K Guissi… - Renewable Energy, 2023 - Elsevier
Accurate PV power forecasting is becoming a mandatory task to integrate the PV plant into
the electrical grid, scheduling and guaranteeing the safety of the power grid. In this paper, a …

[HTML][HTML] Improved solar photovoltaic energy generation forecast using deep learning-based ensemble stacking approach

W Khan, S Walker, W Zeiler - Energy, 2022 - Elsevier
An accurate solar energy forecast is of utmost importance to allow a higher level of
integration of renewable energy into the controls of the existing electricity grid. With the …

Short-term photovoltaic power forecasting using an LSTM neural network and synthetic weather forecast

MS Hossain, H Mahmood - Ieee Access, 2020 - ieeexplore.ieee.org
In this paper, a forecasting algorithm is proposed to predict photovoltaic (PV) power
generation using a long short term memory (LSTM) neural network (NN). A synthetic …

Solar photovoltaic generation forecasting methods: A review

S Sobri, S Koohi-Kamali, NA Rahim - Energy conversion and management, 2018 - Elsevier
Solar photovoltaic plants are widely integrated into most countries worldwide. Due to the
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …

Forecasting of photovoltaic power generation and model optimization: A review

UK Das, KS Tey, M Seyedmahmoudian… - … and Sustainable Energy …, 2018 - Elsevier
To mitigate the impact of climate change and global warming, the use of renewable energies
is increasing day by day significantly. A considerable amount of electricity is generated from …

Solar photovoltaic power forecasting: A review

KJ Iheanetu - Sustainability, 2022 - mdpi.com
The recent global warming effect has brought into focus different solutions for combating
climate change. The generation of climate-friendly renewable energy alternatives has been …

Time series forecasting of solar power generation for large-scale photovoltaic plants

H Sharadga, S Hajimirza, RS Balog - Renewable Energy, 2020 - Elsevier
Accurate solar power forecasting is essential for grid-connected photovoltaic (PV) systems
especially in case of fluctuating environmental conditions. The prediction of PV power output …

Load forecasting techniques for power system: Research challenges and survey

N Ahmad, Y Ghadi, M Adnan, M Ali - IEEE Access, 2022 - ieeexplore.ieee.org
The main and pivot part of electric companies is the load forecasting. Decision-makers and
think tank of power sectors should forecast the future need of electricity with large accuracy …