Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 77 checked references that resolve
resolves10.1016/j.renene.2021.09.027Solar and wind energy potential assessment at provincial level in Nepal: Geospatial and economic analysis
resolves10.1002/sd.2145Variations in sustainable development goal interactions: Population, regional, and income disaggregation
resolves10.3126/jie.v15i3.32230Contribution of Renewable Energy Technologies (RETs) in Climate Resilient Approach and SDG 7
resolves10.4236/jpee.2013.13003Estimation of Global Solar Radiation for Four Selected Sites in Nepal Using Sunshine Hours, Temperature and Relative Humidity
resolves10.1016/j.renene.2012.09.023Estimation of daily average values of the Ångström turbidity coefficient β using a Corrected Yang Hybrid Model
resolves10.1029/2003JD003531A simplified physical model for assessing solar radiation over Brazil using GOES 8 visible imagery
resolves10.1016/j.enconman.2014.12.050A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation
resolves10.1016/j.enconman.2017.11.067Short-term wind speed forecasting based on fast ensemble empirical mode decomposition, phase space reconstruction, sample entropy and improved back-propagation neural network
resolves10.1016/j.engappai.2008.02.003Application of the diagonal recurrent wavelet neural network to solar irradiation forecast assisted with fuzzy technique
resolves10.1016/j.apenergy.2017.10.076An efficient neuro-evolutionary hybrid modelling mechanism for the estimation of daily global solar radiation in the Sunshine State of Australia
resolves10.3390/en11051188A Comparative Assessment of Predicting Daily Solar Radiation Using Bat Neural Network (BNN), Generalized Regression Neural Network (GRNN), and Neuro-Fuzzy (NF) System: A Case Study
resolves10.1016/j.solener.2014.04.009Daily global solar radiation prediction based on a hybrid Coral Reefs Optimization – Extreme Learning Machine approach
resolves10.1016/j.solener.2016.03.015A novel Grouping Genetic Algorithm–Extreme Learning Machine approach for global solar radiation prediction from numerical weather models inputs
resolves10.1016/j.rse.2018.05.003Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis atmospheric products in solar-rich cities
resolves10.1016/j.renene.2021.06.129Estimating half-hourly solar radiation over the Continental United States using GOES-16 data with iterative random forest
resolves10.1016/j.renene.2010.06.024Estimation of monthly solar radiation from measured temperatures using support vector machines – A case study
resolves10.1007/s00704-013-0924-yEvaluation of support vector machine for estimation of solar radiation from measured meteorological variables
resolves10.1016/j.apenergy.2016.01.130A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset
resolves10.1016/j.jastp.2014.12.006Modelling solar radiation reached to the Earth using ANFIS, NN-ARX, and empirical models (Case studies: Zahedan and Bojnurd stations)
resolves10.1016/j.jclepro.2019.01.158Global solar radiation prediction by ANN integrated with European Centre for medium range weather forecast fields in solar rich cities of Queensland Australia
resolves10.1016/j.jastp.2017.02.002ANFIS, SVM and ANN soft-computing techniques to estimate daily global solar radiation in a warm sub-humid environment
resolves10.1016/j.energy.2018.08.207Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
resolves10.3390/en12122407Deep Learning Neural Networks Trained with MODIS Satellite-Derived Predictors for Long-Term Global Solar Radiation Prediction
resolves10.1016/j.energy.2019.116502Application of functional deep belief network for estimating daily global solar radiation: A case study in China
resolves10.1016/j.energy.2021.119887An integrated framework of Bi-directional long-short term memory (BiLSTM) based on sine cosine algorithm for hourly solar radiation forecasting
resolves10.1016/j.energy.2021.120904A novel wind speed prediction strategy based on Bi-LSTM, MOOFADA and transfer learning for centralized control centers
resolves10.3390/en13020435A Partially Amended Hybrid Bi-GRU—ARIMA Model (PAHM) for Predicting Solar Irradiance in Short and Very-Short Terms
resolves10.1016/j.energy.2020.118140An optimized ensemble learning framework for lithium-ion Battery State of Health estimation in energy storage system
resolves10.1016/j.rser.2020.110114Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
resolves10.1016/j.seta.2021.101248A new ANN model for hourly solar radiation and wind speed prediction: A case study over the north & south of the Arabian Peninsula
resolves10.1016/j.solener.2018.01.005A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data
resolves10.1016/j.jhydrol.2009.08.003Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
resolves10.1016/j.rser.2014.07.117A review of validation methodologies and statistical performance indicators for modeled solar radiation data: Towards a better bankability of solar projects
resolves10.1038/s41598-021-96751-4Streamflow prediction using an integrated methodology based on convolutional neural network and long short-term memory networks
The 36 references without a DOI — listed, not checked
no DOI — not checkedAssessing effectiveness of climate smart activities: A study from rural areas, nepal
no DOI — not checkedref3
no DOI — not checkedEstimating contributions of black and brown carbon to solar absorption from aethalometer and aeronet measurements in the highly polluted kathmandu valley, nepal
no DOI — not checkedInvestigating decentralized renewable energy systems under different governance approaches in nepal and indonesia: How does governance fail?
no DOI — not checkedA new physical model to estimate solar irradiance componets on the earth's surface from satellite images
no DOI — not checkedref33
no DOI — not checkedref44
no DOI — not checkedAssessment of machine learning, time series, response surface methodology and empirical models in prediction of global solar radiation
no DOI — not checkedDeep learning models for solar irradiance forecasting: A comprehensive review
no DOI — not checkedref57
no DOI — not checkedShort-term solar irradiance forecasting based on a hybrid deep learning methodology
no DOI — not checkedDeep learning using genetic algorithm optimization for short term solar irradiance forecasting
no DOI — not checkedref65
no DOI — not checkedA deep learning based hybrid method for hourly solar radiation forecasting
no DOI — not checkedDnn-met: A deep neural networks method to integrate satellite-derived evapotranspiration products, eddy covariance observations and ancillary information
no DOI — not checkedA machine learning approach and methodology for solar radiation assessment using multispectral satellite images
no DOI — not checkedSolar radiation forecasting by using deep neural networks in Eski?ehir
no DOI — not checkedref73
no DOI — not checkedMulti-hour and multi-site air quality index forecasting in beijing using cnn, lstm, cnn-lstm, and spatiotemporal clustering
no DOI — not checkedDay-ahead hourly photovoltaic power forecasting using attentionbased cnn-lstm neural network embedded with multiple relevant and target variables prediction pattern
no DOI — not checkedAutomated deep cnn-lstm architecture design for solar irradiance forecasting
no DOI — not checkedPrediction and estimation of solar radiation using artificial neural network (ann) and fuzzy system: a comprehensive review
no DOI — not checkedref86
no DOI — not checkedSpatial mapping of shortterm solar radiation prediction incorporating geostationary satellite images coupled with deep convolutional lstm networks for south korea
no DOI — not checkedDeep learning for solar power forecasting-an approach using autoencoder and lstm neural networks
no DOI — not checkedref92
no DOI — not checkedref93
no DOI — not checkedDeep residual learning for image recognition
no DOI — not checkedIdentity mappings in deep residual networks
no DOI — not checkedref98
no DOI — not checkedLearning strict identity mappings in deep residual networks
no DOI — not checkedPython: a programming language for software integration and development
no DOI — not checkedref101
no DOI — not checkedTensorflow: A system for large-scale machine learning
no DOI — not checkedScikit-learn: Machine learning in python
no DOI — not checkedCombination of forecast methods using encompassing tests: An algorithm-based procedure
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