An overview of deterministic and probabilistic forecasting methods of wind energy
In recent years, a variety of wind forecasting models have been developed, prompting
necessity to review the abundant methods to gain insights of the state-of-the-art …
necessity to review the abundant methods to gain insights of the state-of-the-art …
Exposing and understanding synergistic effects in co-pyrolysis of biomass and plastic waste via machine learning
P Prasertpong, T Onsree, N Khuenkaeo… - Bioresource …, 2023 - Elsevier
During co-pyrolysis of biomass with plastic waste, bio-oil yields (BOY) could be either
induced or reduced significantly via synergistic effects (SE). However, investigating …
induced or reduced significantly via synergistic effects (SE). However, investigating …
Landslide susceptibility mapping: analysis of different feature selection techniques with artificial neural network tuned by bayesian and metaheuristic algorithms
The most frequent and noticeable natural calamity in the Karakoram region is landslides.
Extreme landslides have occurred frequently along Karakoram Highway, particularly during …
Extreme landslides have occurred frequently along Karakoram Highway, particularly during …
Forecasting biocapacity and ecological footprint at a worldwide level to 2030 using neural networks
MA Moros-Ochoa, GY Castro-Nieto… - Sustainability, 2022 - mdpi.com
Constant environmental deterioration is a problem widely addressed by multiple
international organizations. However, given the current economic and technological …
international organizations. However, given the current economic and technological …
[HTML][HTML] Extreme fire weather is the major driver of severe bushfires in southeast Australia
In Australia, the proportion of forest area that burns in a typical fire season is less than for
other vegetation types. However, the 2019–2020 austral spring-summer was an exception …
other vegetation types. However, the 2019–2020 austral spring-summer was an exception …
Forecasting GHG emissions for environmental protection with energy consumption reduction from renewable sources: A sustainable environmental system
J Huang, L Wang, AB Siddik, Z Abdul-Samad… - Ecological …, 2023 - Elsevier
The long-term viability of energy resources as a main input is essential to achieve long-term
economic growth of a country and the energy efficiency significantly reduces energy …
economic growth of a country and the energy efficiency significantly reduces energy …
A posterior hybrid ML optimization to analyze the relationship between high temperature rheological factors of the Superpave PG and improved PG+ asphalt …
This study investigated the relationship between the parameters of the Superpave PG
asphalt classification method and the improved MCSR PG-Plus asphalt classification …
asphalt classification method and the improved MCSR PG-Plus asphalt classification …
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models
Solar irradiation prediction including Global Horizontal Irradiation (GHI) and Direct Normal
Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific …
Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific …
Predicting ecological footprint based on global macro indicators in G-20 countries using machine learning approaches
A Roumiani, A Mofidi - Environmental Science and Pollution Research, 2022 - Springer
Paying attention to human activities in terms of land grazing infrastructure, crops, forest
products, and carbon impact, the so-called ecological impact (EF) is one of the most …
products, and carbon impact, the so-called ecological impact (EF) is one of the most …
Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic …
Y Chen, L Yang, Y Ren, P Yan, H Lu - Sustainable Cities and Society, 2025 - Elsevier
This study evaluates ecological-carbon-water footprints, resources utilization efficiency, and
their future dynamic evolution in three typical urban agglomerations across the Yangtze …
their future dynamic evolution in three typical urban agglomerations across the Yangtze …