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Keyword

ARIMA

Description: A statistical time-series forecasting model that combines autoregression, differencing, and moving averages to represent patterns in sequential data.
Wikidata ID: wiki/Q2566298
OpenAlex ID: keywords/arima
Time series forecasting using a hybrid ARIMA and neural network model
2003 · G.Peter Zhang · Neurocomputing · 4,460
A Comparison of ARIMA and LSTM in Forecasting Time Series
2018 · Sima Siami-Namini, Neda Tavakoli, et al. · IEEE International Conference on Machine Learning and Applications (ICMLA) · 1,380
Recurrent Neural Networks for Time Series Forecasting: Current status and future directions
2020 · Hansika Hewamalage, Christoph Bergmeir, et al. · International Journal of Forecasting · 1,363
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Energy models for demand forecasting—A review
2011 · L. Suganthi, Anand A. Samuel · Renewable and Sustainable Energy Reviews · 1,194
Time-Series Forecasting
2000 · Chris Chatfield · Chapman & Hall/CRC eBooks · 1,053
A hybrid ARIMA and support vector machines model in stock price forecasting
2004 · Ping-Feng Pai, Chih-Sheng Lin · Omega · 999
An artificial neural network (p,d,q) model for timeseries forecasting
2009 · Mehdi Khashei, Mehdi Bijari · Expert Systems with Applications · 785
Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
2020 · Farah Shahid, Aneela Zameer, et al. · Chaos Solitons & Fractals · 743
Predicting solar radiation at high resolutions: A comparison of time series forecasts
2008 · Gordon Reikard · Solar Energy · 654
Assessment of forecasting techniques for solar power production with no exogenous inputs
2012 · Hugo T.C. Pedro, Carlos F.M. Coimbra · Solar Energy · 647
ARIMA forecasting of primary energy demand by fuel in Turkey
2006 · Volkan Ş. Ediger, Sertaç Akar · Energy Policy · 622
Short-Term Load Forecasting Methods: An Evaluation Based on European Data
2007 · James W. Taylor, Patrick E. McSharry · IEEE Transactions on Power Systems · 610
Comparison of ARIMA and Artificial Neural Networks Models for Stock Price Prediction
2014 · Ayodele Ariyo Adebiyi, Aderemi Oluyinka Adewumi, et al. · Journal of Applied Mathematics · 579
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Improving Forecasting Accuracy of Annual Runoff Time Series Using ARIMA Based on EEMD Decomposition
2015 · Wen-chuan Wang, Kwok-wing Chau, et al. · Water Resources Management · 563
Electrical load forecasting models: A critical systematic review
2017 · Corentin Kuster, Yacine Rezgui, et al. · Sustainable Cities and Society · 538
Sketch-based change detection
2003 · Balachander Krishnamurthy, Subhabrata Sen, et al. · 528
Forecasting electricity prices for a day-ahead pool-based electric energy market
2005 · Antonio J. Conejo, Javier Contreras, et al. · International Journal of Forecasting · 513
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil
2020 · Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, et al. · Chaos Solitons & Fractals · 475
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Long-term SPI drought forecasting in the Awash River Basin in Ethiopia using wavelet neural network and wavelet support vector regression models
2013 · A. Belayneh, J. Adamowski, et al. · Journal of Hydrology · 471
Short-term wind speed forecasting using wavelet transform and support vector machines optimized by genetic algorithm
2013 · Da Liu, Dongxiao Niu, et al. · Renewable Energy · 451
A Review of ARIMA vs. Machine Learning Approaches for Time Series Forecasting in Data Driven Networks
2023 · Vaia I. Kontopoulou, Athanasios D. Panagopoulos, et al. · Future Internet · 434
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Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods
2017 · Erick Meira de Oliveira, Fernando Luiz Cyrino Oliveira · Energy · 425
Comparison of prognostic algorithms for estimating remaining useful life of batteries
2009 · Bhaskar Saha, Kai Goebel, et al. · Transactions of the Institute of Measurement and Control · 423
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
2020 · Tanujit Chakraborty, Indrajit Ghosh · Chaos Solitons & Fractals · 417
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A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges
2020 · David Alexander Tedjopurnomo, Zhifeng Bao, et al. · IEEE Transactions on Knowledge and Data Engineering · 408
Works count: 17,480
Citation count: 146,000
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