RETRACTED: Employing categorical boosting (CatBoost) and meta-heuristic algorithms for predicting the urban gas consumption
Authors:
- Leren QianLQLeren Qian
- Zhongsheng ChenZCZhongsheng Chen
- Yiqian HuangYHYiqian Huang
- Russell J. StanfordRSRussell J. Stanford
- 27 August 2023
- journal article
- retracted article
- Published by Elsevier in Urban Climate
- Vol. 51
Abstract
No abstract availableKeywords
This publication has 30 references indexed in Scilit:
- Phasor particle swarm optimization: a simple and efficient variant of PSOSoft Computing, 2018
- Satin bowerbird optimizer: A new optimization algorithm to optimize ANFIS for software development effort estimationEngineering Applications of Artificial Intelligence, 2017
- Model Estimation of ARMA Using Genetic Algorithms: A Case Study of Forecasting Natural Gas ConsumptionProcedia - Social and Behavioral Sciences, 2016
- Forecasting the natural gas demand in China using a self-adapting intelligent grey modelEnergy, 2016
- Seasonal SVR with FOA algorithm for single-step and multi-step ahead forecasting in monthly inbound tourist flowKnowledge-Based Systems, 2016
- A binary ABC algorithm based on advanced similarity scheme for feature selectionApplied Soft Computing, 2015
- Forecasting Natural Gas Consumption in Turkey Using Grey PredictionEnergy Sources, Part B: Economics, Planning, and Policy, 2014
- Grey Wolf OptimizerAdvances in Engineering Software, 2014
- A new Fruit Fly Optimization Algorithm: Taking the financial distress model as an exampleKnowledge-Based Systems, 2012
- Cross-Validation2009