Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
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 …
conventional techniques or as components of integrated systems. They have been used to …
A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
RC Deo, X Wen, F Qi - Applied Energy, 2016 - Elsevier
A solar radiation forecasting model can be utilized is a scientific contrivance for investigating
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
future viability of solar energy potentials. In this paper, a wavelet-coupled support vector …
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 …
plants which convert renewable energies into electricity. In particular, the possibility to …
Comparison of prediction methods of PV/T nanofluid and nano-PCM system using a measured dataset and artificial neural network
In this paper, a Photovoltaic/Thermal (PV/T) system was proposed, built and tested. Three
various types of cooling were proposed: tank filled with water and water flows through the …
various types of cooling were proposed: tank filled with water and water flows through the …
Evaluation of temperature-based machine learning and empirical models for predicting daily global solar radiation
Y Feng, D Gong, Q Zhang, S Jiang, L Zhao… - Energy conversion and …, 2019 - Elsevier
Accurate global solar radiation data are fundamental information for the allocation and
design of solar energy systems. The current study compared different machine learning and …
design of solar energy systems. The current study compared different machine learning and …
A review of energy models
Energy is a vital input for social and economic development of any nation. With increasing
agricultural and industrial activities in the country, the demand for energy is also increasing …
agricultural and industrial activities in the country, the demand for energy is also increasing …
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 …
New temperature-based models for predicting global solar radiation
This study presents new ambient-temperature-based models for estimating global solar
radiation as alternatives to the widely used sunshine-based models owing to the …
radiation as alternatives to the widely used sunshine-based models owing to the …
A review of solar energy modeling techniques
Solar radiation data provide information on how much of the sun's energy strikes a surface at
a location on the earth during a particular time period. These data are needed for effective …
a location on the earth during a particular time period. These data are needed for effective …