[HTML][HTML] National energy system optimization modelling for decarbonization pathways analysis: A systematic literature review
FA Plazas-Niño, NR Ortiz-Pimiento… - … and Sustainable Energy …, 2022 - Elsevier
Energy planning is fundamental to ensure a sustainable, affordable, and reliable energy mix
for the future. Energy system optimization models (ESOMs) are the accurate tools to guide …
for the future. Energy system optimization models (ESOMs) are the accurate tools to guide …
Weather forecasting for renewable energy system: a review
Energy crisis and climate change are the major concerns which has led to a significant
growth in the renewable energy resources which includes mainly the solar and wind power …
growth in the renewable energy resources which includes mainly the solar and wind power …
[HTML][HTML] Forecasting solar energy production in Spain: A comparison of univariate and multivariate models at the national level
T Cabello-López, M Carranza-García, JC Riquelme… - Applied Energy, 2023 - Elsevier
Renewable energies, such as solar power, offer a clean and cost-effective energy source.
However, their integration into national electricity grids poses challenges due to their …
However, their integration into national electricity grids poses challenges due to their …
A comprehensive review on ensemble solar power forecasting algorithms
With increasing demand for energy, the penetration of alternative sources such as
renewable energy in power grids has increased. Solar energy is one of the most common …
renewable energy in power grids has increased. Solar energy is one of the most common …
[HTML][HTML] On the value of expert knowledge in estimation and forecasting of solar photovoltaic power generation
Reliable estimates and forecasts of Photovoltaic (PV) power output form a fundamental
basis to support its large-scale integration. This is recognized in literature, where a growing …
basis to support its large-scale integration. This is recognized in literature, where a growing …
A hybrid solar irradiance forecasting using full wavelet packet decomposition and bi-directional long short-term memory (BiLSTM)
For the prospectus of profitability and technological advancement, solar irradiance
forecasting for grid-connected solar plants is essential nowadays. However, the intermittent …
forecasting for grid-connected solar plants is essential nowadays. However, the intermittent …
Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
Comprehensive review of dust properties and their influence on photovoltaic systems: Electrical, optical, thermal models and experimentation techniques
As conventional energy sources decrease and worldwide power demand grows, the appeal
of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV …
of photovoltaic (PV) systems as sustainable and ecofriendly energy sources has grown. PV …
[HTML][HTML] A systematic review of machine learning applications in the operation of smart distribution systems
Due to climate changes happening in the past few years, the necessity for the integration of
renewable energy sources and other low-carbon technologies is ever-growing. With the …
renewable energy sources and other low-carbon technologies is ever-growing. With the …
Review on spatio-temporal solar forecasting methods driven by in situ measurements or their combination with satellite and numerical weather prediction (NWP) …
L Benavides Cesar, R Amaro e Silva… - Energies, 2022 - mdpi.com
To better forecast solar variability, spatio-temporal methods exploit spatially distributed solar
time series, seeking to improve forecasting accuracy by including neighboring solar …
time series, seeking to improve forecasting accuracy by including neighboring solar …