Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison
The prediction of global solar radiation for the regions is of great importance in terms of
giving directions of solar energy conversion systems (design, modeling, and operation) …
giving directions of solar energy conversion systems (design, modeling, and operation) …
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 …
Forecasting of future greenhouse gas emission trajectory for India using energy and economic indexes with various metaheuristic algorithms
The accelerating increment of greenhouse gas (GHG) concentration in the atmosphere
already reached an alarming level, and nowadays its adverse impacts on the living …
already reached an alarming level, and nowadays its adverse impacts on the living …
Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms
Ü Ağbulut - Sustainable Production and Consumption, 2022 - Elsevier
Adverse impacts of the transportation sector on not only air quality but also economic growth
of a country are nowadays well-noticed, particularly by develo** countries. Today, the …
of a country are nowadays well-noticed, particularly by develo** countries. Today, the …
Electricity production based forecasting of greenhouse gas emissions in Turkey with deep learning, support vector machine and artificial neural network algorithms
MS Bakay, Ü Ağbulut - Journal of Cleaner Production, 2021 - Elsevier
Today, the world's primary energy demand has been met by the burning of fossil-based fuels
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
at a rate of 85%. This dominant use of fossil-based fuels has led to an accelerating increase …
Evaluation of CatBoost method for prediction of reference evapotranspiration in humid regions
Accurate estimation of reference evapotranspiration (ET 0) is critical for water resource
management and irrigation scheduling. This study evaluated the potential of a new machine …
management and irrigation scheduling. This study evaluated the potential of a new machine …
Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance
Prediction of solar irradiance is an essential requirement for reliable planning and efficient
designing of solar energy systems. Thus, in present work, a new ensemble model, which …
designing of solar energy systems. Thus, in present work, a new ensemble model, which …
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 …
A novel fractional time delayed grey model with Grey Wolf Optimizer and its applications in forecasting the natural gas and coal consumption in Chongqing China
Introduction of the fractional order accumulation has made significant contributions to the
development of forecasting methods, and fractional grey models play a key role in such new …
development of forecasting methods, and fractional grey models play a key role in such new …
Carbon-dioxide mitigation in the residential building sector: a household scale-based assessment
Carbon-dioxide mitigation in residential building sector (CMRBS) has become critical for
China in achieving its emission mitigation goal in the “Post Paris” period with the growing …
China in achieving its emission mitigation goal in the “Post Paris” period with the growing …