A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Hybrid Multi-Objective Optimizer-Based SVM Model for Enhancing Numerical Weather Prediction: A Study for the Seoul Metropolitan Area
Authors
Keywords
-
Journal
Sustainability
Volume 14, Issue 1, Pages 296
Publisher
MDPI AG
Online
2021-12-28
DOI
10.3390/su14010296
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A greedy non‐hierarchical grey wolf optimizer for real‐world optimization
- (2021) Ebrahim Akbari et al. ELECTRONICS LETTERS
- ARIMA Model Estimation Based on Genetic Algorithm for COVID-19 Mortality Rates
- (2021) Mohanad A. Deif et al. INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING
- Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads
- (2021) Zichen Zhang et al. KNOWLEDGE-BASED SYSTEMS
- Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach
- (2021) Mohanad A. Deif et al. SENSORS
- Early dynamics of transmission and control of COVID-19: a mathematical modelling study
- (2020) Adam J Kucharski et al. LANCET INFECTIOUS DISEASES
- Comparative Assessment of Various Machine Learning‐Based Bias Correction Methods for Numerical Weather Prediction Model Forecasts of Extreme Air Temperatures in Urban Areas
- (2020) Dongjin Cho et al. Earth and Space Science
- Short-term wind speed forecasting based on the Jaya-SVM model
- (2020) Mingshuai Liu et al. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
- A hybrid multi-objective optimizer-based model for daily electricity demand prediction considering COVID-19
- (2020) Hongfang Lu et al. ENERGY
- Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea
- (2019) Mohammed Alsharif et al. Symmetry-Basel
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Evaluation and forecasting of solar radiation using time series adaptive neuro-fuzzy inference system: Seoul city as a case study
- (2019) Mohammed H. Alsharif et al. IET Renewable Power Generation
- Predicting permeability changes with injecting CO2 in coal seams during CO2 geological sequestration: A comparative study among six SVM-based hybrid models
- (2019) Hao Yan et al. SCIENCE OF THE TOTAL ENVIRONMENT
- Mapping forest change using stacked generalization: An ensemble approach
- (2018) Sean P. Healey et al. REMOTE SENSING OF ENVIRONMENT
- Development of an Urban High-Resolution Air Temperature Forecast System for Local Weather Information Services Based on Statistical Downscaling
- (2018) Chaeyeon Yi et al. Atmosphere
- Opportunities and Challenges of Solar and Wind Energy in South Korea: A Review
- (2018) Mohammed Alsharif et al. Sustainability
- The effects of handling outliers on the performance of bankruptcy prediction models
- (2018) Tamás Nyitrai et al. SOCIO-ECONOMIC PLANNING SCIENCES
- The Impact of Satellite-Derived Land Surface Temperatures on Numerical Weather Prediction Analyses and Forecasts
- (2017) B. Candy et al. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
- Numerical weather prediction revisions using the locally trained differential polynomial network
- (2016) Ladislav Zjavka EXPERT SYSTEMS WITH APPLICATIONS
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
- (2016) Seyedali Mirjalili et al. EXPERT SYSTEMS WITH APPLICATIONS
- Grey Wolf Optimizer
- (2014) Seyedali Mirjalili et al. ADVANCES IN ENGINEERING SOFTWARE
- Evaluation of statistical bias correction methods for numerical weather prediction model forecasts of maximum and minimum temperatures
- (2014) V. R. Durai et al. NATURAL HAZARDS
- Enhanced artificial intelligence for ensemble approach to predicting high performance concrete compressive strength
- (2013) Jui-Sheng Chou et al. CONSTRUCTION AND BUILDING MATERIALS
- Use of support vector machines (SVMs) to predict distribution of an invasive water fern Azolla filiculoides (Lam.) in Anzali wetland, southern Caspian Sea, Iran
- (2012) Roghayeh Sadeghi et al. ECOLOGICAL MODELLING
- Kalman filter and correction of the temperatures estimated by PRECIS model
- (2011) José Ruy Porto de Carvalho et al. ATMOSPHERIC RESEARCH
- Correction of 2 m-temperature forecasts using Kalman Filtering technique
- (2007) Renata Libonati et al. ATMOSPHERIC RESEARCH
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started