Home ›
Entities
› academia
› Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method
Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method
Research article (Energies, 2018) · cited 25× · AI/ML
Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method
Summary
Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method is a scholarly article[1].
Key Facts
Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method. Retrieved May 24, 2026, from https://4ort.xyz/entity/forecasting-chinas-natural-gas-consumption-based-on-adaboost-particle-swarm-optimization-extreme-learning-machine-integr
MLA“Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/forecasting-chinas-natural-gas-consumption-based-on-adaboost-particle-swarm-optimization-extreme-learning-machine-integr.
BibTeX@misc{4ortxyz_forecasting-chinas-natural-gas-consumption-based-on-adaboost-particle-swarm-optimization-extreme-learning-machine-integr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method}}, year = {2026}, url = {https://4ort.xyz/entity/forecasting-chinas-natural-gas-consumption-based-on-adaboost-particle-swarm-optimization-extreme-learning-machine-integr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Forecasting China’s Natural Gas Consumption Based on AdaBoost-Particle Swarm Optimization-Extreme Learning Machine Integrated Learning Method — https://4ort.xyz/entity/forecasting-chinas-natural-gas-consumption-based-on-adaboost-particle-swarm-optimization-extreme-learning-machine-integr (retrieved 2026-05-24)