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 …
A comprehensive review of artificial intelligence-based methods for predicting pan evaporation rate
M Abed, MA Imteaz, AN Ahmed - Artificial Intelligence Review, 2023 - Springer
This comprehensive study reviews the latest and most popular artificial intelligence (AI)
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
techniques utilised for estimating pan evaporation (Ep), an essential parameter for water …
Light Gradient Boosting Machine: An efficient soft computing model for estimating daily reference evapotranspiration with local and external meteorological data
Accurate estimation of reference evapotranspiration (ETo) is required in many fields, eg
irrigation scheduling design, agricultural water management, crop growth modeling and …
irrigation scheduling design, agricultural water management, crop growth modeling and …
Modeling pan evaporation using Gaussian process regression K-nearest neighbors random forest and support vector machines; comparative analysis
Evaporation is a very important process; it is one of the most critical factors in agricultural,
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
hydrological, and meteorological studies. Due to the interactions of multiple climatic factors …
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 …
Hybrid particle swarm optimization with extreme learning machine for daily reference evapotranspiration prediction from limited climatic data
B Zhu, Y Feng, D Gong, S Jiang, L Zhao… - Computers and Electronics …, 2020 - Elsevier
Accurate prediction of reference evapotranspiration (ET o) is pivotal to the determination of
crop water requirement and irrigation scheduling in agriculture as well as water resources …
crop water requirement and irrigation scheduling in agriculture as well as water resources …
Estimation of soil temperature from meteorological data using different machine learning models
Y Feng, N Cui, W Hao, L Gao, D Gong - Geoderma, 2019 - Elsevier
Soil temperature (T s) plays a key role in physical, biological and chemical processes in
terrestrial ecosystems. Accurate estimation of T s at various soil depths is crucial for land …
terrestrial ecosystems. Accurate estimation of T s at various soil depths is crucial for land …
Daily reference evapotranspiration prediction based on hybridized extreme learning machine model with bio-inspired optimization algorithms: Application in …
Reliable and accurate prediction of reference evapotranspiration (ETo) is a precondition for
the efficient management and planning of agricultural water resources as well as the optimal …
the efficient management and planning of agricultural water resources as well as the optimal …
[HTML][HTML] Hybrid extreme learning machine with meta-heuristic algorithms for monthly pan evaporation prediction
Accurate estimation of pan evaporation (E p) is of great significance to the development of
agricultural irrigation systems and agricultural water resources management. The purpose of …
agricultural irrigation systems and agricultural water resources management. The purpose of …
Multi-model ensemble prediction of pan evaporation based on the Copula Bayesian Model Averaging approach
Pan evaporation (E p) is an efficient and practical tool for planning and managing water
resources, understanding the water balance in hydrological processes, and developing …
resources, understanding the water balance in hydrological processes, and developing …