A review of auto-regressive methods applications to short-term demand forecasting in power systems
R Czapaj, J Kamiński, M Sołtysik - Energies, 2022 - mdpi.com
The paper conducts a literature review of applications of autoregressive methods to short-
term forecasting of power demand. This need is dictated by the advancement of modern …
term forecasting of power demand. This need is dictated by the advancement of modern …
Performance-based optimum seismic design of steel structures by a modified firefly algorithm and a new neural network
S Gholizadeh - Advances in Engineering Software, 2015 - Elsevier
Structural optimization for performance-based seismic design (PBSD) in earthquake
engineering aims at finding optimum design variables corresponding to a minimum …
engineering aims at finding optimum design variables corresponding to a minimum …
Predicting formation damage of oil fields due to mineral scaling during water-flooding operations: Gradient boosting decision tree and cascade-forward back …
A Larestani, SP Mousavi, F Hadavimoghaddam… - Journal of Petroleum …, 2022 - Elsevier
Water-flooding is one of the main options employed by the oil industry to meet the world's
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
ever-increasing demand for oil, as the primary source of energy. This approach is highly …
RETRACTED ARTICLE: Prediction of groundwater fluctuation based on hybrid ANFIS-GWO approach in arid Watershed, India
The knowledge about groundwater level (GWL) fluctuations is very significant in water
resources planning and management. In Loisingha and Saintala watersheds situated in …
resources planning and management. In Loisingha and Saintala watersheds situated in …
[HTML][HTML] Predicting the surfactant-polymer flooding performance in chemical enhanced oil recovery: Cascade neural network and gradient boosting decision tree
A Larestani, SP Mousavi, F Hadavimoghaddam… - Alexandria Engineering …, 2022 - Elsevier
Surfactant-polymer flooding is one of the most important enhanced oil recovery (EOR)
techniques, which refers to the injection of surfactant slugs and polymer drives. Two crucial …
techniques, which refers to the injection of surfactant slugs and polymer drives. Two crucial …
Solar output power forecast using an ensemble framework with neural predictors and Bayesian adaptive combination
An Accurate forecast of PV output power is essential to optimize the relationship between
energy supply and demand. However, it is a challenging task due to the intermittent nature …
energy supply and demand. However, it is a challenging task due to the intermittent nature …
Trainable cascade-forward back-propagation network modeling of spearmint oil extraction in a packed bed using SC-CO2
M Lashkarbolooki, ZS Shafipour, AZ Hezave - The Journal of Supercritical …, 2013 - Elsevier
Supercritical extraction (SE) is a separation technique utilizes near or above critical
properties of the solvents. In this technique, modeling of yield and solubility of materials are …
properties of the solvents. In this technique, modeling of yield and solubility of materials are …
[HTML][HTML] Prediction the correlations between hardness and tensile properties of aluminium-silicon alloys produced by various modifiers and grain refineries using …
The hardness test is considered one of the easiest mechanical tests in terms of preparing its
specimens, as it does not need machining, unlike the tensile test that needs special …
specimens, as it does not need machining, unlike the tensile test that needs special …
On the evaluation of permeability of heterogeneous carbonate reservoirs using rigorous data-driven techniques
This study probes the application of Cascade Forward Neural Network (CFNN), Least
Square Support Vector Machine (LSSVM), Multilayer Perceptron (MLP), and Generalized …
Square Support Vector Machine (LSSVM), Multilayer Perceptron (MLP), and Generalized …
Artificial neural network models for rainfall prediction
Rainfall prediction is an important meteorological problem that can greatly affect humanity in
areas such as agriculture production, flooding, drought, and sustainable management of …
areas such as agriculture production, flooding, drought, and sustainable management of …