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 …
A novel structure adaptive new information priority discrete grey prediction model and its application in renewable energy generation forecasting
Renewable energy has made a significant contribution to global power generation.
Therefore, accurate mid-to-long term renewable energy generation forecasting is becoming …
Therefore, accurate mid-to-long term renewable energy generation forecasting is becoming …
A novel hybrid model for short-term wind power forecasting
Wind energy prediction has a significant effect on the planning, economic operation and
security maintenance of the wind power system. However, due to the high volatility and …
security maintenance of the wind power system. However, due to the high volatility 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 …
Forecasting short-term renewable energy consumption of China using a novel fractional nonlinear grey Bernoulli model
Energy consumption is an international issue and plays an important role in the national
energy security, especially for China of which the energy market is in transition. Accuracy …
energy security, especially for China of which the energy market is in transition. Accuracy …
Predictions of electricity consumption in a campus building using occupant rates and weather elements with sensitivity analysis: Artificial neural network vs. linear …
This study compares building electric energy prediction approaches that use a traditional
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …
statistical method (linear regression) and artificial neural network (ANN) algorithms. We …
[HTML][HTML] Evaluation of the performance of fractional evolution equations based on fractional operators and sensitivity assessment
RU Rahman, MMM Qousini, A Alshehri, SM Eldin… - Results in Physics, 2023 - Elsevier
In this article, the nonlinear fractional Kudryashov's equation and the space–time fractional
nonlinear Tzitzeica–Dodd–Bullough (TDB) equation are solved using the new auxiliary …
nonlinear Tzitzeica–Dodd–Bullough (TDB) equation are solved using the new auxiliary …
A novel conformable fractional non-homogeneous grey model for forecasting carbon dioxide emissions of BRICS countries
Nowadays, climate change is one of the most important global issues to the international
community. And nearly thirty kinds of greenhouse gases have been found in the …
community. And nearly thirty kinds of greenhouse gases have been found in the …
The conformable fractional grey system model
The fractional order grey models have appealed considerable interest of research in recent
years due to its high effectiveness and flexibility in time series forecasting. However, the …
years due to its high effectiveness and flexibility in time series forecasting. However, the …
[HTML][HTML] A new multivariable grey prediction model with structure compatibility
B Zeng, H Duan, Y Zhou - Applied Mathematical Modelling, 2019 - Elsevier
A new multivariable grey prediction model was proposed by adding a dependent variable
lag term, a linear correction term and a random disturbance term to the traditional GM (1, N) …
lag term, a linear correction term and a random disturbance term to the traditional GM (1, N) …