PV power forecasting based on data-driven models: a review

P Gupta, R Singh - International Journal of Sustainable …, 2021 - Taylor & Francis
Accurate PV power forecasting techniques are a prerequisite for the optimal management of
the grid and its stability. This paper presents a review of the recent developments in the field …

Smart distribution network situation awareness for high-quality operation and maintenance: a brief review

L Ge, Y Li, Y Li, J Yan, Y Sun - Energies, 2022 - mdpi.com
In order to meet the requirements of high-tech enterprises for high power quality, high-
quality operation and maintenance (O&M) in smart distribution networks (SDN) is becoming …

Automated deep CNN-LSTM architecture design for solar irradiance forecasting

SMJ Jalali, S Ahmadian, A Kavousi-Fard… - … on Systems, Man …, 2021 - ieeexplore.ieee.org
Accurate prediction of solar energy is an important issue for photovoltaic power plants to
enable early participation in energy auction industries and cost-effective resource planning …

Critical review of data, models and performance metrics for wind and solar power forecast

V Prema, MS Bhaskar, D Almakhles, N Gowtham… - IEEE …, 2021 - ieeexplore.ieee.org
Global climatic changes and increased carbon footprints provided the main impetus for the
decrease in the use of fossil fuels for electricity generation and transportation. Matured …

A hybrid model for short-term PV output forecasting based on PCA-GWO-GRNN

L Ge, Y Xian, J Yan, B Wang… - Journal of Modern Power …, 2020 - ieeexplore.ieee.org
High-precision day-ahead short-term photovoltaic (PV) output forecasting is essential in PV
integration to the smart distribution networks and multi-energy system, and provides the …

Hybrid deep learning for power generation forecasting in active solar trackers

S Frizzo Stefenon, C Kasburg, A Nied… - IET Generation …, 2020 - Wiley Online Library
To meet the growing electricity demand for consumers, it is necessary to use more efficient
systems. The solar trackers stand out among the applications that can improve the efficiency …

基于图相似日和PSO-XGBoost 的光伏功率预测

吴春华, 董阿龙, 李智华, 汪飞 - 高电压技术, 2022 - epjournal.csee.org.cn
为充分利用历史信息, 最大限度优化模型效果, 提高光伏功率预测精度, 提出了基于图相似日和
粒子群优化极限梯度提升树(particle swarm optimization-extreme gradient boosting tree, PSO …

Effect of dust on the solar spectrum and electricity generation of a photovoltaic module

M Konyu, N Ketjoy… - IET Renewable Power …, 2020 - Wiley Online Library
The accumulation of dust on any given photovoltaic (PV) module surface depends on the
type of dust, environment, surroundings, weather, module properties, and its installation …

Second-Life Electric Vehicle Batteries for Home Photovoltaic Systems: Transforming Energy Storage and Sustainability

MT Sarker, MHSM Haram, SJ Shern, G Ramasamy… - Energies, 2024 - mdpi.com
Solar-based home PV systems are the most amazing eco-friendly energy innovations in the
world, which are not only climate-friendly but also cost-effective solutions. The tropical …

Data normalisation-based solar irradiance forecasting using artificial neural networks

I Arora, J Gambhir, T Kaur - Arabian Journal for Science and Engineering, 2021 - Springer
Due to continual day-to-day increase in electricity demand, and hazardous and critical
threats of fossil fuels to the environment, researchers are scrutinizing over substitute energy …