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A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
Machine learning models to quantify and map daily global solar radiation and photovoltaic power
Y Feng, W Hao, H Li, N Cui, D Gong, L Gao - Renewable and Sustainable …, 2020 - Elsevier
Global solar radiation (R s) reaching Earth's surface is the primary information for the design
and application of solar energy-related systems. High-resolution R s measurements are …
and application of solar energy-related systems. High-resolution R s measurements are …
The spatial distribution of China's solar energy resources and the optimum tilt angle and power generation potential of PV systems
J **g, Y Zhou, L Wang, Y Liu, D Wang - Energy Conversion and …, 2023 - Elsevier
This study aims at filling the gaps and completing the missing global solar radiation and
diffuse solar radiation data considering the limited radiation data of 85 meteorological …
diffuse solar radiation data considering the limited radiation data of 85 meteorological …
Semi-experimental investigation on the energy performance of photovoltaic double skin façade with different façade materials
The photovoltaic double skin façade (PV-DSF) is a cutting-edge building envelope
renowned for its dynamic nature and power generation capabilities, which attracts …
renowned for its dynamic nature and power generation capabilities, which attracts …
Estimating 1-min beam and diffuse irradiance from the global irradiance: A review and an extensive worldwide comparison of latest separation models at 126 stations
D Yang - Renewable and Sustainable Energy Reviews, 2022 - Elsevier
Separation models, which are used to split beam and diffuse irradiance components from
the global one, constitute the largest class of radiation models. Over the years, there have …
the global one, constitute the largest class of radiation models. Over the years, there have …
Comparison of machine-learning models for predicting short-term building heating load using operational parameters
Y Zhou, Y Liu, D Wang, X Liu - Energy and buildings, 2021 - Elsevier
Short-term building energy consumption prediction is of great significance to the optimal
operation of building energy systems and conservation. Machine-learning models are …
operation of building energy systems and conservation. Machine-learning models are …
A novel combined multi-task learning and Gaussian process regression model for the prediction of multi-timescale and multi-component of solar radiation
A novel combined multi-task learning and Gaussian process regression (MTGPR) model is
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
proposed to predict the multi-time scale (daily and monthly mean daily) and multi …
Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China
In this paper, three kinds of models, including support vector machine-firefly algorithm (SVM-
FFA), copula-base nonlinear quantile regression (CNQR) and empirical models were …
FFA), copula-base nonlinear quantile regression (CNQR) and empirical models were …
Groundwater level estimation using improved deep learning and soft computing methods
Estimating groundwater level (GWL) is an important issue for planning and managing
available water resources. This study uses monthly data from 86 observation wells from …
available water resources. This study uses monthly data from 86 observation wells from …
Comprehensive investigation on lighting and energy-saving performance of lighting/heating coupled tubular daylighting devices integrated with nanofluids
X Liu, C Shen, H Yang, J Wang - Applied Thermal Engineering, 2024 - Elsevier
Feasible regulation of the solar visible and infrared spectrum is a promising technology for
energy-efficient buildings. Our recently published work has proposed a lighting/heating …
energy-efficient buildings. Our recently published work has proposed a lighting/heating …