Cargando…

Hybrid intelligent technologies in energy demand forecasting

Detalles Bibliográficos
Autor principal:	Hong, Wei-Chiang
Lenguaje:	eng
Publicado:	Springer International Publishing AG 2020
Materias:	XX
Acceso en línea:	http://cds.cern.ch/record/2760503

Ejemplares similares

Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling †
por: Casteleiro-Roca, José-Luis, et al.
Publicado: (2019)

Demand-Driven Forecasting: A Structured Approach to Forecasting
por: Chase, Charles
Publicado: (2013)

Forecasting Air Travel Demand
por: Zheng, Yafei, et al.
Publicado: (2018)

Demand and Supply Integration: The Key to World-Class Demand Forecasting
por: Moon, Mark
Publicado: (2013)

Intelligent based hybrid renewable energy resources forecasting and real time power demand management system for resilient energy systems
por: Amir, Mohammad, et al.
Publicado: (2022)

Handbook of energy storage: demand, technologies, integration
por: Sterner, Michael, et al.
Publicado: (2019)

Tourism Demand Forecast Based on Adaptive Neural Network Technology in Business Intelligence
por: Wang, Liangliang
Publicado: (2022)

Forecasting and Management of Technology
por: Mason, Thomas
Publicado: (2011)

Modeling and Forecasting of Energy Demands for Household Applications
por: Salam, Md. Abdus, et al.
Publicado: (2019)

Demand forecasting for managers
por: Kolassa, Stephan, et al.
Publicado: (2014)

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings
por: Ngo, Ngoc-Tri, et al.
Publicado: (2022)

Long-Term Energy Demand Forecasting Based on a Systems Analysis
por: Filippov, S. P., et al.
Publicado: (2021)

Software project estimation: intelligent forecasting, project control, and client relationship management
por: Dimitrov, Dimitre
Publicado: (2019)

Improving forecasts with integrated business planning: from short-term to long-term demand planning enabled by SAP IBP
por: Sankaran, Ganesh, et al.
Publicado: (2019)

Knowledge mapping of tourism demand forecasting research
por: Zhang, Chengyuan, et al.
Publicado: (2020)

Forecasting Oil Demand with the Development of Comprehensive Tourism
por: Huang, Yanrong, et al.
Publicado: (2021)

Demand Forecasting Approaches for New Contraceptive Technologies: A Landscape Review and Recommendations for Alignment
por: LaCroix, Elizabeth, et al.
Publicado: (2023)

Intelligent motorized spindle technology
por: Wu, Yuhou, et al.
Publicado: (2020)

Super-forecasting the ‘technological singularity’ risks from artificial intelligence
por: Radanliev, Petar, et al.
Publicado: (2022)

International Symposium on Measurement Technology and Intelligent Instrument
por: Gao, Wei, et al.
Publicado: (2008)

Hybrid computational intelligence: challenges and applications
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2020)

Hybrid intelligence for image analysis and understanding
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2017)

Hybrid intelligent systems: analysis and design
por: Castillo, Oscar, et al.
Publicado: (2006)

A genetic-algorithm-based remnant grey prediction model for energy demand forecasting
por: Hu, Yi-Chung
Publicado: (2017)

Enabling Demand Side Management: Heat Demand Forecasting at City Level
por: Hietaharju, Petri, et al.
Publicado: (2019)

Forecasting renewable energy for environmental resilience through computational intelligence
por: Khan, Mansoor, et al.
Publicado: (2021)

Intelligent thermal energy system
por: Chin, Cheng Siong
Publicado: (2020)

Intelligent automation in renewable energy
por: Baydyk, Tetyana, et al.
Publicado: (2019)

Medical service demand forecasting using a hybrid model based on ARIMA and self-adaptive filtering method
por: Huang, Yihuai, et al.
Publicado: (2020)

Promoting Regional Economic Transformation Forecast Based on Intelligent Computing Technology
por: Cai, Hongbiao
Publicado: (2022)

Beyond EHR: using technology to meet growing demands and deliver better patient care
por: Daigrepont, EFPM, CAPPM, Jeffery P
Publicado: (2020)

Financial Forecasting, Analysis and Modelling: A Framework for Long-Term Forecasting
por: Samonas, Michael
Publicado: (2015)

Computational intelligence in emerging technologies for engineering applications
por: Llanes Santiago, Orestes, et al.
Publicado: (2020)

Emerging Economies, Risk and Development, and Intelligent Technology
por: Huang, Chongfu
Publicado: (2015)

Material-integrated intelligent systems: technology and applications
por: Bosse, Stefan, et al.
Publicado: (2018)

Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles
por: A, Chitra, et al.
Publicado: (2020)

Hybrid intelligent systems in control, pattern recognition and medicine
por: Castillo, Oscar, et al.
Publicado: (2019)

Forecasting China's energy demand post-COVID-19 pandemic: Insights from energy type differences and regional differences
por: Wang, Qiang, et al.
Publicado: (2022)

Handbook of Economic Forecasting
por: Elliott, Graham
Publicado: (2013)

Handbook of Economic Forecasting
por: Elliott, Graham
Publicado: (2013)

Cannot write session to /tmp/vufind_sessions/sess_evsd6onnrgopgl4as2mlld88a5