INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This literature review offers a comprehensive analysis of time series forecasting techniques. It explores traditional methods such as autoregressive integrated moving average (ARIMA) and exponential smoothing, focusing on their strengths and limitations. The review discusses challenges in forecasting, including model selection and uncertainty estimation. It also highlights emerging trends in the field, such as the integration of external factors and ensemble methods. This review provides valuable insights for researchers and practitioners seeking a deeper understanding of time series forecasting and its potential applications.
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"A LITERATURE SURVEY OF TIME SERIES FORECASTING APPROACHES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 7, page no.d436-d441, July-2023, Available :http://www.ijnrd.org/papers/IJNRD2307349.pdf
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2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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