An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
Authors
Keywords
-
Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 198, Issue -, Pages 116934
Publisher
Elsevier BV
Online
2022-03-20
DOI
10.1016/j.eswa.2022.116934
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Impacts of haze pollution on China's tourism industry: A system of economic loss analysis
- (2021) Yan Hao et al. JOURNAL OF ENVIRONMENTAL MANAGEMENT
- Carbon price forecasting system based on error correction and divide-conquer strategies
- (2021) Xinsong Niu et al. APPLIED SOFT COMPUTING
- Inbound tourism demand forecasting framework based on fuzzy time series and advanced optimization algorithm
- (2020) Ping Jiang et al. APPLIED SOFT COMPUTING
- Analysis of the influence of international benchmark oil price on China’s real exchange rate forecasting
- (2020) Jianzhou Wang et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A novel metaheuristic optimizer inspired by behavior of jellyfish in ocean
- (2020) Jui-Sheng Chou et al. APPLIED MATHEMATICS AND COMPUTATION
- A Novel Hybrid Interval Prediction Approach Based on Modified Lower Upper Bound Estimation in Combination with Multi-Objective Salp Swarm Algorithm for Short-Term Load Forecasting
- (2018) Jiyang Wang et al. Energies
- Prediction intervals for global solar irradiation forecasting using regression trees methods
- (2018) Cyril Voyant et al. RENEWABLE ENERGY
- Interval prediction of solar power using an Improved Bootstrap method
- (2018) Kaiwen Li et al. SOLAR ENERGY
- Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
- (2016) Seyedali Mirjalili et al. APPLIED INTELLIGENCE
- Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
- (2016) Seyedali Mirjalili et al. EXPERT SYSTEMS WITH APPLICATIONS
- Robust Energy Management System for a Microgrid Based on a Fuzzy Prediction Interval Model
- (2016) Felipe Valencia et al. IEEE Transactions on Smart Grid
- A Knee Point-Driven Evolutionary Algorithm for Many-Objective Optimization
- (2015) Xingyi Zhang et al. IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION
- Fuzzy Prediction Interval Models for Forecasting Renewable Resources and Loads in Microgrids
- (2015) Doris Saez et al. IEEE Transactions on Smart Grid
- An optimized short-term wind power interval prediction method considering NWP accuracy
- (2014) Yongqian Liu et al. CHINESE SCIENCE BULLETIN
- Uncertainty handling using neural network-based prediction intervals for electrical load forecasting
- (2014) Hao Quan et al. ENERGY
- Short-term wind power prediction using differential EMD and relevance vector machine
- (2013) Yan Bao et al. NEURAL COMPUTING & APPLICATIONS
- Computing global and diffuse solar hourly irradiation on clear sky. Review and testing of 54 models
- (2012) Viorel Badescu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A review of solar energy modeling techniques
- (2012) Tamer Khatib et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Comprehensive Review of Neural Network-Based Prediction Intervals and New Advances
- (2011) A. Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Lower Upper Bound Estimation Method for Construction of Neural Network-Based Prediction Intervals
- (2010) A Khosravi et al. IEEE TRANSACTIONS ON NEURAL NETWORKS
- Multi-objective ant colony optimisation: A meta-heuristic approach to supply chain design
- (2010) Luis A. Moncayo-Martínez et al. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now