Agricultural land suitability analysis: State-of-the-art and outlooks for integration of climate change analysis

K Akpoti, AT Kabo-bah, SJ Zwart - Agricultural systems, 2019 - Elsevier
Agricultural land suitability analysis (ALSA) for crop production is one of the key tools for
ensuring sustainable agriculture and for attaining the current global food security goal in line …

Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

MW Gardner, SR Dorling - Atmospheric environment, 1998 - Elsevier
Artificial neural networks are appearing as useful alternatives to traditional statistical
modelling techniques in many scientific disciplines. This paper presents a general …

Assessment of forecasting techniques for solar power production with no exogenous inputs

HTC Pedro, CFM Coimbra - Solar Energy, 2012 - Elsevier
We evaluate and compare several forecasting techniques using no exogenous inputs for
predicting the solar power output of a 1MWp, single-axis tracking, photovoltaic power plant …

A 24-h forecast of solar irradiance using artificial neural network: Application for performance prediction of a grid-connected PV plant at Trieste, Italy

A Mellit, AM Pavan - Solar energy, 2010 - Elsevier
Forecasting of solar irradiance is in general significant for planning the operations of power
plants which convert renewable energies into electricity. In particular, the possibility to …

Artificial intelligence techniques for photovoltaic applications: A review

A Mellit, SA Kalogirou - Progress in energy and combustion science, 2008 - Elsevier
Artificial intelligence (AI) techniques are becoming useful as alternate approaches to
conventional techniques or as components of integrated systems. They have been used to …

Evaluation of numerical weather prediction for intra-day solar forecasting in the continental United States

P Mathiesen, J Kleissl - Solar Energy, 2011 - Elsevier
Numerical weather prediction (NWP) models are generally the most accurate tools for
forecasting solar irradiation several hours in advance. This study validates the North …

The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data

MA Behrang, E Assareh, A Ghanbarzadeh… - Solar Energy, 2010 - Elsevier
The main objective of present study is to predict daily global solar radiation (GSR) on a
horizontal surface, based on meteorological variables, using different artificial neural …

Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques

A Sfetsos, AH Coonick - Solar Energy, 2000 - Elsevier
This paper introduces a new approach for the forecasting of mean hourly global solar
radiation received by a horizontal surface. In addition to the traditional linear methods …

[HTML][HTML] Wavelet-based neural network with genetic algorithm optimization for generation prediction of PV plants

C Zhang, M Zhang - Energy Reports, 2022 - Elsevier
In order to solve the problem of uncertainty of photovoltaic power generation forecast, the
prediction accuracy of photovoltaic power station power generation is further improved. In …

Estimation of daily global solar radiation using empirical and machine-learning methods: A case study of five Moroccan locations

Z Bounoua, LO Chahidi, A Mechaqrane - Sustainable Materials and …, 2021 - Elsevier
Reliable solar radiation data are essential to study the feasibility and to determine the
optimal size of solar plants in a particular location. However, the network of solar radiation …