Application of support vector machine models for forecasting solar and wind energy resources: A review
Conventional fossil fuels are depleting daily due to the growing human population. Previous
research has proved that renewable energy sources, especially solar and wind, can be …
research has proved that renewable energy sources, especially solar and wind, can be …
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 comprehensive review of hybrid models for solar radiation forecasting
M Guermoui, F Melgani, K Gairaa… - Journal of Cleaner …, 2020 - Elsevier
Solar radiation components assessment is a highly required parameter for solar energy
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
applications. Due to the non-stationary behavior of solar radiation parameters and variety of …
PV power forecasting based on data-driven models: a review
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 …
the grid and its stability. This paper presents a review of the recent developments in the field …
Renewable revolution: A review of strategic flexibility in future power systems
S Shahzad, E Jasińska - Sustainability, 2024 - mdpi.com
The global shift toward integrating renewable energy sources, such as solar and wind
power, is revolutionizing the energy landscape, presenting both opportunities and …
power, is revolutionizing the energy landscape, presenting both opportunities and …
An ensemble method to forecast 24-h ahead solar irradiance using wavelet decomposition and BiLSTM deep learning network
In recent years, the penetration of solar power at residential and utility levels has progressed
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …
exponentially. However, due to its stochastic nature, the prediction of solar global horizontal …
Review of distributed generation (DG) system planning and optimisation techniques: Comparison of numerical and mathematical modelling methods
An overview of numerical and mathematical modelling-based distributed generation (DG)
system optimisation techniques is presented in this review paper. The objective is to …
system optimisation techniques is presented in this review paper. The objective is to …
Hybrid support vector machines with heuristic algorithms for prediction of daily diffuse solar radiation in air-polluted regions
Increasing air pollutants significantly affect the proportion of diffuse (R d) to global (R s) solar
radiation. This study proposed three new hybrid support vector machines (SVM) with particle …
radiation. This study proposed three new hybrid support vector machines (SVM) with particle …
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 …
A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)
The main objective of this paper is to present Gaussian Process Regression (GPR) as a new
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …
accurate soft computing model to predict daily and monthly solar radiation at Mashhad city …