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 …
ever-growing utilization of solar photovoltaic plants, either via grid-connection or stand …
Machine learning methods for solar radiation forecasting: A review
Forecasting the output power of solar systems is required for the good operation of the
power grid or for the optimal management of the energy fluxes occurring into the solar …
power grid or for the optimal management of the energy fluxes occurring into the solar …
[HTML][HTML] Hourly predictions of direct normal irradiation using an innovative hybrid LSTM model for concentrating solar power projects in hyper-arid regions
Although solar energy harnessing capacity varies considerably based on the employed
solar energy technology and the meteorological conditions, accurate direct normal …
solar energy technology and the meteorological conditions, accurate direct normal …
[HTML][HTML] Deep learning based forecasting of photovoltaic power generation by incorporating domain knowledge
X Luo, D Zhang, X Zhu - Energy, 2021 - Elsevier
Solar energy constitutes an effective supplement to traditional energy sources. However,
photovoltaic power generation (PVPG) is strongly weather-dependent, and thus highly …
photovoltaic power generation (PVPG) is strongly weather-dependent, and thus highly …
Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques
The modernisation of the world has significantly reduced the prime sources of energy such
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
as coal, diesel and gas. Thus, alternative energy sources based on renewable energy have …
A satellite image data based ultra-short-term solar PV power forecasting method considering cloud information from neighboring plant
Accurate ultra-short-term PV power forecasting is essential for the power system with a high
proportion of renewable energy integration, which can provide power fluctuation information …
proportion of renewable energy integration, which can provide power fluctuation information …
A current perspective on the accuracy of incoming solar energy forecasting
The state-of-the-art in the accuracy of solar resources forecasting is obtained by using
results reported in 1705 accuracy tests reported in several geographic regions (North …
results reported in 1705 accuracy tests reported in several geographic regions (North …
A comprehensive review and analysis of solar forecasting techniques
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
Methodological framework for short-and medium-term energy, solar and wind power forecasting with stochastic-based machine learning approach to monetary and …
Anomalous seasons such as low-wind summers and extremely cold winters can seriously
disrupt energy reliability and productivity. Better short/medium-term forecasts that provide …
disrupt energy reliability and productivity. Better short/medium-term forecasts that provide …
A decomposition-clustering-ensemble learning approach for solar radiation forecasting
A decomposition-clustering-ensemble (DCE) learning approach is proposed for solar
radiation forecasting in this paper. In the proposed DCE learning approach,(1) ensemble …
radiation forecasting in this paper. In the proposed DCE learning approach,(1) ensemble …