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25 years of time series forecasting. (2006). Hyndman, Rob ; Gooijer, Jan G..
In: International Journal of Forecasting.
RePEc:eee:intfor:v:22:y:2006:i:3:p:443-473.

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  4. On Forecasting Cryptocurrency Prices: A Comparison of Machine Learning, Deep Learning, and Ensembles. (2023). Visentin, Andrea ; Carraro, Diego ; Rossi, Andrea ; Murray, Kate.
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  73. Predicting plug loads with occupant count data through a deep learning approach. (2019). Piette, MaryAnn ; Hong, Tianzhen ; Wang, Zhe.
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  78. Volatility Forecast by Volatility Index and Its Use as a Risk Management Tool Under a Value-at-Risk Approach. (2018). Siu, Yam Wing.
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  80. Rainfall Pattern Forecasting Using Novel Hybrid Intelligent Model Based ANFIS-FFA. (2018). Bonakdari, Hossein ; Ebtehaj, Isa ; Ghareb, Mazen Ismaeel ; Yaseen, Zaher Mundher ; Deo, Ravinesh ; Yusif, Ali A ; Heddam, Salim ; Siddique, Ridwan.
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  81. Assessing macroeconomic recovery after a natural hazard based on ARIMA—a case study of the 2008 Wenchuan earthquake in China. (2018). Sui, QI ; Liu, Tianxue ; Wang, Ying ; Zhu, Yingqi.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
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  82. Trends and patterns in sustainability-related media coverage: A classification of issue-level attention. (2018). Figge, Frank.
    In: Environment and Planning C.
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  83. Research on the forward-looking behavior judgment of heating oil price evolution based on complex networks. (2018). Zhen, Zaili ; Chen, Huan ; Tian, Lixin.
    In: PLOS ONE.
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  84. Has Macroeconomic Forecasting changed after the Great Recession? - Panel-based Evidence on Accuracy and Forecaster Behaviour from Germany. (2018). Fritsche, Ulrich ; Muller, Karsten ; Dopke, Jorg.
    In: Macroeconomics and Finance Series.
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  85. Photovoltaic Power Forecasting Based on EEMD and a Variable-Weight Combination Forecasting Model. (2018). Wang, Weijun ; Sun, Jianbo.
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  86. Short-Term Forecasting for Energy Consumption through Stacking Heterogeneous Ensemble Learning Model. (2018). Al-Jallad, Nashat T ; Ning, XU ; Khairalla, Mergani A ; El-Faroug, Musaab O.
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  87. FORECASTING THE OPERATIONAL ACTIVITIES OF THE SEA PASSENGER TERMINAL USING INTELLIGENT TECHNOLOGIES. (2018). Krile, Sreko ; Fetisov, Vladimir ; Maiorov, Nikolai.
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  88. Recent advances in electricity price forecasting: A review of probabilistic forecasting. (2018). Weron, Rafał ; Nowotarski, Jakub.
    In: Renewable and Sustainable Energy Reviews.
    RePEc:eee:rensus:v:81:y:2018:i:p1:p:1548-1568.

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  89. ARIMA + GARCH + Bootstrap forecasting method applied to the airline industry. (2018). Nieto, Mara Rosa ; Carmona-Bentez, Rafael Bernardo.
    In: Journal of Air Transport Management.
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  90. Using past contribution patterns to forecast fundraising outcomes in crowdfunding. (2018). Jank, Wolfgang ; Fan-Osuala, Onochie ; Zantedeschi, Daniel.
    In: International Journal of Forecasting.
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  91. Solar irradiation prediction with machine learning: Forecasting models selection method depending on weather variability. (2018). Fouilloy, Alexis ; Duchaud, Jean-Laurent ; Guillot, Emmanuel ; Nivet, Marie-Laure ; Paoli, Christophe ; Motte, Fabrice ; Notton, Gilles ; Voyant, Cyril.
    In: Energy.
    RePEc:eee:energy:v:165:y:2018:i:pa:p:620-629.

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  92. A deep learning model for short-term power load and probability density forecasting. (2018). Guo, Zhifeng ; Yang, Shanlin ; Zhang, Xiaoling ; Zhou, Kaile.
    In: Energy.
    RePEc:eee:energy:v:160:y:2018:i:c:p:1186-1200.

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  93. Forecasting spikes in electricity return innovations. (2018). Tafakori, Laleh ; Alavifard, Farzad ; Pourkhanali, Armin.
    In: Energy.
    RePEc:eee:energy:v:150:y:2018:i:c:p:508-526.

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  94. On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages. (2018). Appino, Riccardo Remo ; Hagenmeyer, Veit ; Faulwasser, Timm ; Mikut, Ralf ; Gonzalez, Jorge Angel.
    In: Applied Energy.
    RePEc:eee:appene:v:210:y:2018:i:c:p:1207-1218.

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  95. Ajustarea seriilor de timp financiare,Partea întâi. (2017). Stefanescu, Rzvan ; Dumitriu, Ramona.
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    RePEc:pra:mprapa:78329.

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  96. A new accuracy measure based on bounded relative error for time series forecasting. (2017). Garibaldi, Jonathan M ; Twycross, Jamie ; Chen, Chao.
    In: PLOS ONE.
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  97. Construction and visualization of optimal confidence sets for frequentist distributional forecasts. (2017). Poskitt, Donald ; Perera, Indeewara ; Martin, Gael M ; Harris, David.
    In: Monash Econometrics and Business Statistics Working Papers.
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  98. Forecasting realized volatility: HAR against Principal Components Combining, neural networks and GARCH. (2017). Vortelinos, Dimitrios I.
    In: Research in International Business and Finance.
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  99. Machine learning methods for solar radiation forecasting: A review. (2017). Notton, Gilles ; Voyant, Cyril ; Fouilloy, Alexis ; Motte, Fabrice ; Paoli, Christophe ; Nivet, Marie-Laure ; Kalogirou, Soteris.
    In: Renewable Energy.
    RePEc:eee:renene:v:105:y:2017:i:c:p:569-582.

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  100. Empowering cash managers to achieve cost savings by improving predictive accuracy. (2017). Salas-Molina, Francisco ; Ll, Josep ; Serra, Joan ; Rodriguez-Aguilar, Juan A ; Martin, Francisco J.
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  101. Dynamic optimization of natural gas networks under customer demand uncertainties. (2017). Behrooz, Hesam Ahmadian ; Boozarjomehry, Bozorgmehry R.
    In: Energy.
    RePEc:eee:energy:v:134:y:2017:i:c:p:968-983.

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  102. Uncertainties in global radiation time series forecasting using machine learning: The multilayer perceptron case. (2017). Voyant, Cyril ; Motte, Fabrice ; Fouilloy, Alexis ; Darras, Christophe ; Notton, Gilles.
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  103. Forecasting method for global radiation time series without training phase: Comparison with other well-known prediction methodologies. (2017). Voyant, Cyril ; Nivet, Marie-Laure ; Paoli, Christophe ; Notton, Gilles ; Fouilloy, Alexis ; Motte, Fabrice.
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    RePEc:eee:energy:v:120:y:2017:i:c:p:199-208.

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  104. Integrated hierarchical forecasting. (2017). , Clint ; van Dalen, Jan .
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    RePEc:eee:ejores:v:263:y:2017:i:2:p:412-418.

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  105. An adaptive approach to forecasting three key macroeconomic variables for transitional China. (2017). Niu, Linlin ; Chen, Ying ; Xu, Xiu.
    In: Economic Modelling.
    RePEc:eee:ecmode:v:66:y:2017:i:c:p:201-213.

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  106. A Novel Approach to Forecasting Financial Volatility with Gaussian Process Envelopes. (2017). Nyikosa, Favour ; Osborne, Michael A ; Roberts, Stephen J ; Asad, Syed Ali .
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  107. Empirical analysis of daily cash flow time series and its implications for forecasting. (2017). Salas-Molina, Francisco ; Martin, Francisco J ; Serra, Joan ; Rodr, Juan A.
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  108. Recent advances in electricity price forecasting: A review of probabilistic forecasting. (2016). Weron, Rafał ; Nowotarski, Jakub.
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  109. A study of credit risk of Chinese listed companies: ZPP versus KMV. (2016). Li, Lili ; Zou, Xin ; Yang, Jun.
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  110. Improved bootstrap prediction intervals for SETAR models. (2016). Winker, Peter ; Staszewska-Bystrova, Anna.
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  111. Time-aware link prediction to explore network effects on temporal knowledge evolution. (2016). Uddin, Shahadat ; Choudhury, Nazim.
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  112. Макроэкономическое прогнозирование с помощью BVAR Литтермана. (2016). ДЕМЕШЕВ БОРИС БОРИСОВИЧ, ; МАЛАХОВСКАЯ ОКСАНА АНАТОЛЬ, .
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  113. Stock Return Predictability: Evaluation based on Prediction Intervals. (2016). Kim, Jae ; Darné, Olivier ; Charles, Amelie ; Darne, Olivier.
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  114. Stock Return Predictability: Evaluation based on prediction intervals. (2016). Kim, Jae ; Darné, Olivier ; Charles, Amelie ; Darne, Olivier.
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  115. A novel ranking procedure for forecasting approaches using Data Envelopment Analysis. (2016). Rostami-Tabar, Bahman ; Emrouznejad, Ali ; Petridis, Konstantinos.
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  116. Forecasting sales of new and existing products using consumer reviews: A random projections approach. (2016). Gupta, Sachin ; Schneider, Matthew J.
    In: International Journal of Forecasting.
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  117. Forecasting the EV charging load based on customer profile or station measurement?. (2016). Majidpour, Mostafa ; Gadh, Rajit ; Pota, Hemanshu R ; Chu, Peter ; Qiu, Charlie .
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  118. Empowering cash managers to achieve cost savings by improving predictive accuracy. (2016). Salas-Molina, Francisco ; Ll, Josep ; Serra, Joan ; Rodr, Juan A ; Martin, Francisco J.
    In: Papers.
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  119. Impacts of the global economic crisis and Tohoku earthquake on Sino–Japan trade: a comparative perspective. (2015). Ye, Tao ; Shi, Peijun ; Li, Man ; Fang, Jian.
    In: Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards.
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  120. Suite of Latvias GDP forecasting models. (2015). Bessonovs, Andrejs.
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  121. An Adaptive Approach to Forecasting Three Key Macroeconomic Variables for Transitional China. (2015). Niu, Linlin ; Chen, Ying ; Xu, Xiu.
    In: SFB 649 Discussion Papers.
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  122. Adaptive Neuro-Fuzzy Inference Systems as a Strategy for Predicting and Controling the Energy Produced from Renewable Sources. (2015). Stefan, Veronica ; Dragomir, Florin ; Minca, Eugenia .
    In: Energies.
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  123. APPLICATION OF BOX-JENKINS METHOD AND ARTIFICIAL NEURAL NETWORK PROCEDURE FOR TIME SERIES FORECASTING OF PRICES. (2015). Singh, Abhishek ; Mishra, G C.
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  124. A note on forecasting demand using the multivariate exponential smoothing framework. (2015). Sbrana, Giacomo ; Poloni, Federico.
    In: International Journal of Production Economics.
    RePEc:eee:proeco:v:162:y:2015:i:c:p:143-150.

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  125. Relative performance of methods for forecasting special events. (2015). Nikolopoulos, Konstantinos ; Bougioukos, Vasileios ; Litsa, Akrivi ; Petropoulos, Fotios ; Khammash, Marwan .
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  126. Forecasting in telecommunications and ICT—A review. (2015). Meade, Nigel ; Islam, Towhidul.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:4:p:1105-1126.

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  127. Calibrating ensemble forecasting models with sparse data in the social sciences. (2015). Montgomery, Jacob M ; Ward, Michael D ; Hollenbach, Florian M.
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:3:p:930-942.

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  128. Forecasting the forecastability quotient for inventory management. (2015). Hill, Arthur V ; Burch, Gerald F ; Zhang, Weiyong .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:3:p:651-663.

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  129. Reproducibility in forecasting research. (2015). Syntetos, Aris A. ; Goodwin, Paul ; Mohammadipour, Maryam ; Boylan, John E..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:31:y:2015:i:1:p:79-90.

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  130. Statistical parameters as a means to a priori assess the accuracy of solar forecasting models. (2015). Voyant, Cyril ; Muselli, Marc ; David, Mathieu ; Lauret, Philippe ; Soubdhan, Ted .
    In: Energy.
    RePEc:eee:energy:v:90:y:2015:i:p1:p:671-679.

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  131. Application of Box-Jenkins method and Artificial Neural Network procedure for time series forecasting of prices. (2015). Singh, Abhishek ; Mishra, G C.
    In: Statistics in Transition new series.
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  132. An adaptive approach to forecasting three key macroeconomic variables for transitional China. (2015). Niu, Linlin ; Chen, Ying ; Xu, Xiu.
    In: BOFIT Discussion Papers.
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  133. An adaptive approach to forecasting three key macroeconomic variables for transitional China. (2015). Niu, Linlin ; Xu, Xiu ; Chen, Ying.
    In: BOFIT Discussion Papers.
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  134. Recent developments in bootstrap methods for dependent data. (2015). Wunderli, Dan ; Cavaliere, Giuseppe ; Wolf, Michael ; Rahbek, Anders ; Politis, Dimitris N.
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  135. Electricity price forecasting: A review of the state-of-the-art with a look into the future. (2014). Weron, Rafał.
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  136. Multidimensional Analysis of Monthly Stock Market Returns. (2014). Gulseven, Osman ; Osman, Gulseven .
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  137. An investigation of forecast horizon and observation fits influence on an econometric rate forecast model in the liner shipping industry. (2014). Chen, Gang ; Nielsen, Peter ; Niels Gorm Malý Rytter, ; Jiang, Liping.
    In: Maritime Policy & Management.
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  138. Developing Evaluation Matrix for Critical Success Factors in Technology Forecasting. (2014). .
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  139. Boosting multi-step autoregressive forecasts. (2014). Hyndman, Rob ; Ben Taieb, Souhaib.
    In: Monash Econometrics and Business Statistics Working Papers.
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  140. Forecasting welfare caseloads: The case of the Japanese public assistance program. (2014). Hayashi, Masayoshi.
    In: Socio-Economic Planning Sciences.
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  141. Prediction of solar radiation with genetic approach combing multi-model framework. (2014). Xiong, Bin Yu ; Zhang, YU ; Wu, JI ; Chan, Chee Keong .
    In: Renewable Energy.
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  142. Electricity price forecasting: A review of the state-of-the-art with a look into the future. (2014). Weron, Rafał.
    In: International Journal of Forecasting.
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  143. Improving forecasting by estimating time series structural components across multiple frequencies. (2014). Petropoulos, Fotios ; Kourentzes, Nikolaos ; Trapero, Juan R..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:30:y:2014:i:2:p:291-302.

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  144. Stochastic and genetic neural network combinations in trading and hybrid time-varying leverage effects. (2014). Stasinakis, Charalampos ; Sermpinis, Georgios ; Dunis, Christian .
    In: Journal of International Financial Markets, Institutions and Money.
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  145. Aviation fuel demand development in China. (2014). Liu, John ; Chai, Jian ; Zhang, Zhong-Yu ; Wang, Shou-Yang ; Lai, Kin Keung.
    In: Energy Economics.
    RePEc:eee:eneeco:v:46:y:2014:i:c:p:224-235.

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  146. Forecasting with a parsimonious subset VAR model. (2014). Cheong, Chongcheul ; Lee, Hyunchul.
    In: Economics Letters.
    RePEc:eee:ecolet:v:125:y:2014:i:2:p:167-170.

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  148. Bootstrap joint prediction regions. (2013). Wunderli, Dan ; Wolf, Michael.
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  149. Asset Allocation Considerations for Pension Insurance Funds. (2013). Hertrich, Christian.
    In: Springer Books.
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  150. Hybrid methodology for hourly global radiation forecasting in Mediterranean area. (2013). Paoli, Christophe ; Nivet, Marie-Laure ; Muselli, Marc ; Voyant, Cyril.
    In: Renewable Energy.
    RePEc:eee:renene:v:53:y:2013:i:c:p:1-11.

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  151. A strategic forecasting framework for governmental decision-making and planning. (2013). Nikolopoulos, Konstantinos ; Savio, Nicolas D..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:29:y:2013:i:2:p:311-321.

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  152. Property Market Modelling and Forecasting: A Case for Simplicity. (2013). Brown, Andrew ; Sloan, Brian ; Jadevicius, Arvydas.
    In: ERES.
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  153. A Study on Forecasting Prices of Groundnut Oil in Delhi by Arima Methodology and Artificial Neural Networks. (2013). Singh, A. ; Mishra, G. C..
    In: AGRIS on-line Papers in Economics and Informatics.
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  154. Forecasting Welfare Caseloads: The Case of the Japanese Public Assistance Program. (2012). Hayashi, Masayoshi.
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  155. Do Dynamic Neural Networks Stand a Better Chance in Fractionally Integrated Process Forecasting?. (2012). Naderi, Esmaeil ; gandali alikhani, nadiya ; Delavari, Majid .
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  156. Data-Driven Model Evaluation: A Test for Revealed Performance. (2012). Racine, Jeffrey ; Parmeter, Christopher ; ChristopherF. Parmeter, .
    In: Department of Economics Working Papers.
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  157. Numerical weather prediction (NWP) and hybrid ARMA/ANN model to predict global radiation. (2012). Paoli, Christophe ; Nivet, Marie-Laure ; Muselli, Marc ; Voyant, Cyril.
    In: Energy.
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  158. Forecasting performance of grey prediction for education expenditure and school enrollment. (2012). Tang, Hui-Wen Vivian ; Yin, Mu-Shang .
    In: Economics of Education Review.
    RePEc:eee:ecoedu:v:31:y:2012:i:4:p:452-462.

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  159. Examination of property forecasting models - accuracy and its improvement through combination forecasting. (2012). Brown, Andrew ; Sloan, Brian ; Jadevicius, Arvydas.
    In: ERES.
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  160. Beyond point forecasting: Evaluation of alternative prediction intervals for tourist arrivals. (2011). Liu, Shen ; Kim, Jae ; Athanasopoulos, George ; Wong, Kevin .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:27:y::i:3:p:887-901.

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  161. Forecasting ATM cash demands using a local learning model of cerebellar associative memory network. (2011). Teddy, S. D. ; Ng, S. K..
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:27:y::i:3:p:760-776.

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  162. Forecasting monthly and quarterly time series using STL decomposition. (2011). Theodosiou, Marina .
    In: International Journal of Forecasting.
    RePEc:eee:intfor:v:27:y:2011:i:4:p:1178-1195.

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  163. Temporal series and neural networks: a comparative analysis of techniques in the Brazilian retail sales forecast. (2011). de Angelo, Claudio Felisoni ; Zwicker, Ronaldo ; Nuno Manoel Martins Dias Fouto, ; Luppe, Marcos Roberto .
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  38. Generalising about univariate forecasting methods: further empirical evidence. (1998). Hibon, Michele ; Makridakis, Spyros ; Fildes, Robert ; Meade, Nigel.
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