Another look at measures of forecast accuracy

Cited by (1,003)

Items 401–500 of 1,003

1. Insights into the accuracy of social scientists’ forecasts of societal change
   The Forecasting Collaborative, Igor Grossmann, Amanda Rotella, Cendri A.C. Hutcherson, Konstantyn Sharpinskyi, Michael E. W. Varnum, Sebastian Achter, Mandeep K. Dhami, Xinqi Guo, Mane Kara-Yakoubian et al. · 2023 · Nature Human Behaviour
2. Evaluating the Effectiveness of Time Series Transformers for Demand Forecasting in Retail
   José Manuel Oliveira, Patrícia Ramos · 2024 · Mathematics
3. Developing a method and simulation model for evaluating the overall energy performance of a ventilated semi‐transparent photovoltaic double‐skin facade
   Jinqing Peng, Dragan Curcija, Lin Lu, Stephen E. Selkowitz, Hongxing Yang, Robin Mitchell · 2015 · Progress in Photovoltaics Research and Applications
4. Model for prediction of resilient modulus incorporating matric suction for recycled unbound granular materials
   Abdelhalim M. Azam, Donald A. Cameron, Md Mizanur Rahman · 2013 · Canadian Geotechnical Journal
5. CEREF: A hybrid data-driven model for forecasting annual streamflow from a socio-hydrological system
   Hongbo Zhang, Vijay P. Singh, Bin Wang, Yinghao Yu · 2016 · Journal of Hydrology
6. Dengue Epidemics Prediction: A Survey of the State-of-the-Art Based on Data Science Processes
   Padet Siriyasatien, Sudarat Chadsuthi, Katechan Jampachaisri, Kraisak Kesorn · 2018 · IEEE Access
7. Dynamic line rating forecasting algorithm for a secure power system network
   Olatunji Ahmed Lawal, Jiashen Teh · 2023 · Expert Systems with Applications
8. Models for optimising the theta method and their relationship to state space models
   José Augusto Fiorucci, Tiago Ribeiro Pellegrini, Francisco Louzada, Fotios Petropoulos, Anne B. Koehler · 2016 · International Journal of Forecasting
9. The Tidal Marsh Inundation Index (TMII): An inundation filter to flag flooded pixels and improve MODIS tidal marsh vegetation time-series analysis
   Jessica L. O’Connell, Deepak R. Mishra, David L. Cotten, Li Wang, Merryl Alber · 2017 · Remote Sensing of Environment
10. Local online kernel ridge regression for forecasting of urban travel times
    James Haworth, John S. Shawe-Taylor, Tao Cheng, Jiaqiu Wang · 2014 · Transportation Research Part C Emerging Technologies
11. A new method to forecast intermittent demand in the presence of inventory obsolescence
    M. Zied Babaï, Yves Dallery, Sahbi Boubaker, Rim Kalaï · 2018 · International Journal of Production Economics
12. Strategies for time series forecasting with generalized regression neural networks
    Francisco Martínez, Francisco Charte, María Pilar Frías, Ana María Martínez-Rodríguez · 2021 · Neurocomputing
13. Time Series Feature extraction for Lithium-Ion batteries State-Of-Health prediction
    Inès Jorge, Tedjani Mesbahi, Ahmed Samet, Romuald Boné · 2022 · Journal of Energy Storage
14. A small-sample hybrid model for forecasting energy-related CO 2 emissions
    Ming Meng, Dongxiao Niu, Wei Shang · 2013 · Energy
15. Forecasting Hot Water Consumption in Residential Houses
    Linas Gelažanskas, Kelum A. A. Gamage · 2015 · Energies
16. Stripping customers' feedback on hotels through data mining: The case of Las Vegas Strip
    Sérgio Moro, Paulo Rita, Joana Coelho · 2017 · Tourism Management Perspectives
17. Image-based size analysis of agglomerated and partially sintered particles via convolutional neural networks
    Max Frei, Frank Einar Kruis · 2019 · Powder Technology
18. Predictive model for bottomhole pressure based on machine learning
    Pavel Spesivtsev, Konstantin Sinkov, Ivan Sofronov, Anna Zimina, Alexey V. Umnov, Ramil Yarullin, Dmitry Vetrov · 2018 · Journal of Petroleum Science and Engineering
19. Local and global characteristics-based kernel hybridization to increase optimal support vector machine performance for stock market prediction
    M. M. Gowthul Alam, S. Baulkani · 2018 · Knowledge and Information Systems
20. Evaluating the accuracy and calibration of expert predictions under uncertainty: predicting the outcomes of ecological research
    Marissa F. McBride, Fiona M. Fidler, Mark A. Burgman · 2012 · Diversity and Distributions
21. Do ‘big losses’ in judgmental adjustments to statistical forecasts affect experts’ behaviour?
    Petropoulos, Fotios, Fildes, Robert, Goodwin, Paul · 2016 · European Journal of Operational Research
22. Stock market forecasting by using a hybrid model of exponential fuzzy time series
    Fatemeh Mirzaei Talarposhti, Hossein Javedani Sadaei, Rasul Enayatifar, Frederico Gadelha Guimarães, Maqsood Mahmud, Tayyebeh Eslami · 2015 · International Journal of Approximate Reasoning
23. A compound framework for wind speed forecasting based on comprehensive feature selection, quantile regression incorporated into convolutional simplified long short-term memory network and residual error correction
    Kai Wang, Wenlong Fu, Tie Chen, Binqiao Zhang, Dongzhen Xiong, Ping Fang · 2020 · Energy Conversion and Management
24. Prediction of wind speed with non-linear autoregressive (NAR) neural networks
    Seçkin Karasu, Aytaç Altan, Zehra Saraç, Rıfat Hacıoğlu · 2017 · Signal Processing and Communications Applications Conference (SIU)
25. Understanding forecast reconciliation
    Ross Hollyman, Fotios Petropoulos, Michael E. Tipping · 2021 · European Journal of Operational Research
26. A Review and Outlook on Energy Consumption Estimation Models for Electric Vehicles
    Yuche Chen, Guoyuan Wu, Ruixiao Sun, Abhishek Kumar Dubey, Áron Lászka, Philip Pugliese · 2021 · SAE International journal of sustainable transportation, energy, environment & policy
27. A deep learning approach using graph convolutional networks for slope deformation prediction based on time-series displacement data
    Zhengjing Ma, Gang Mei, Edoardo Prezioso, Zhongjian Zhang, Nengxiong Xu · 2021 · Neural Computing and Applications
28. Time series forecasting of oil production in Enhanced Oil Recovery system based on a novel CNN-GRU neural network
    Guangxu Chen, Hailong Tian, Ting Xiao, Tianfu Xu, Hongwu Lei · 2023 · Geoenergy Science and Engineering
29. Analysis of mineral grades for geometallurgy: Combined element-to-mineral conversion and quantitative X-ray diffraction
    Mehdi Parian, Pertti Lamberg, Robert Möckel, Jan Rosenkranz · 2015 · Minerals Engineering
30. Self-adaptive workload classification and forecasting for proactive resource provisioning
    Nikolas Roman Herbst, Nikolaus Huber, Samuel Kounev, Erich Amrehn · 2013 · ACM/SPEC International Conference on Performance Engineering (ICPE)
31. Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
    Zhongyi Hu, Yukun Bao, Tao Xiong · 2013 · The Scientific World JOURNAL
32. Forecasting method selection in a global supply chain
    Yavuz Acar, Everette S. Gardner · 2012 · International Journal of Forecasting
33. The inventory performance of forecasting methods: Evidence from the M3 competition data
    Fotios Petropoulos, Xun Wang, Stephen Michael Disney · 2018 · International Journal of Forecasting
34. Demand forecasting in the presence of systematic events: Cases in capturing sales promotions
    Mahdi Abolghasemi, Jason Hurley, Ali Eshragh, Behnam Fahimnia · 2020 · International Journal of Production Economics
35. TRIÈST
    Lorenzo De Stefani, Alessandro Epasto, Matteo Riondato, Eli Upfal · 2017 · ACM Transactions on Knowledge Discovery from Data
36. Spectral features selection and classification of oil palm leaves infected by Basal stem rot (BSR) disease using dielectric spectroscopy
    Alfadhl Yahya Khaled, Samsuzana Abd Aziz, Siti Khairunniza Bejo, Nazmi Mat Nawi, Idris Abu Seman · 2017 · Computers and Electronics in Agriculture
37. Walk-forward empirical wavelet random vector functional link for time series forecasting
    Ruobin Gao, Liang Du, Kum Fai Yuen, Ponnuthurai Nagaratnam Suganthan · 2021 · Applied Soft Computing
38. Stock index forecasting based on multivariate empirical mode decomposition and temporal convolutional networks
    Yuan Yao, Zhaoyang Zhang, Yang Zhao · 2023 · Applied Soft Computing
39. A Comparative Analysis of XGBoost and Neural Network Models for Predicting Some Tomato Fruit Quality Traits from Environmental and Meteorological Data
    Oussama M’hamdi, Sándor Takács, Gábor Palotás, Riadh Ilahy, Lájos Helyes, Zoltán Pék · 2024 · Plants
40. Stochastic models for wind speed forecasting
    Saverio Bivona, G. Bonanno, R. Burlon, Davide Gurrera, C. Leone · 2010 · Energy Conversion and Management
41. Vibration trend measurement for a hydropower generator based on optimal variational mode decomposition and an LSSVM improved with chaotic sine cosine algorithm optimization
    Wenlong Fu, Kai Wang, Chaoshun Li, Xiong Li, LI Yue-hua, Hao Zhong · 2018 · Measurement Science and Technology
42. A generally applicable, simple and adaptive forecasting method for the short-term heat load of consumers
    Thomas Nigitz, Markus Gölles · 2019 · Applied Energy
43. Chameleon: A Hybrid, Proactive Auto-Scaling Mechanism on a Level-Playing Field
    André Bauer, Nikolas Roman Herbst, Simon Spinner, Ahmed Ali-Eldin, Samuel Kounev · 2018 · IEEE Transactions on Parallel and Distributed Systems
44. Are forecasting competitions data representative of the reality?
    Evangelos Spiliotis, Andreas Kouloumos, Vassilios Assimakopoulos, Spyros Makridakis · 2019 · International Journal of Forecasting
45. Exploring regional variability in the short-term impact of COVID-19 on property crime in Queensland, Australia
    Jason Payne, Anthony Morgan, Alex R. Piquero · 2021 · Crime Science
46. Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model
    Gregory L. Watson, Di Xiong, Lu Zhang, Joseph Alan Zoller, John Shamshoian, Phillip Sundin, Teresa Bufford, Anne W. Rimoin, Marc A. Suchard, Christina M. Ramirez · 2021 · PLoS Computational Biology
47. An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
    Gourav Kumar, Uday Pratap Singh, Sanjeev Jain · 2022 · Soft Computing
48. Studying real traffic and mobility scenarios for a Smart City using a new monitoring and tracking system
    Antonio J. Fernández-Ares, Antonio Miguel Mora, M. G. Arenas, Pablo García‐Sánchez, G. Romero, Víctor M. Rivas, Pedro Ángel Castillo, Juan Julián Merelo · 2016 · Future Generation Computer Systems
49. Case Study in Evaluating Time Series Prediction Models Using the Relative Mean Absolute Error
    Nicholas G Reich, Justin Lessler, Krzysztof Sakrejda, Stephen A. Lauer, Sopon Iamsirithaworn, Derek A. T. Cummings · 2016 · The American Statistician
50. Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010–2014
    Stephen A. Lauer, Krzysztof Sakrejda, Evan L Ray, Lindsay T. Keegan, Qifang Bi, Paphanij Suangtho, Soawapak Hinjoy, Sopon Iamsirithaworn, Suthanun Suthachana, Yongjua Laosiritaworn et al. · 2018 · Proceedings of the National Academy of Sciences
51. Data Driven Natural Gas Spot Price Prediction Models Using Machine Learning Methods
    Moting Su, Zongyi Zhang, Ye Zhu, Donglan Zha, Wenying Wen · 2019 · Energies
52. A metaheuristic-optimized multi-output model for predicting multiple properties of pervious concrete
    Junfei Zhang, Yimiao Huang, Guowei Ma, Junbo Sun, Brett Nener · 2020 · Construction and Building Materials
53. A Novel Method for Sea Surface Temperature Prediction Based on Deep Learning
    Xuan Yu, Suixiang Shi, Lingyu Xu, Yaya Liu, Qingsheng Miao, Miao Sun · 2020 · Mathematical Problems in Engineering
54. Development of a single energy balance model for prediction of temperatures inside a naturally ventilated greenhouse with polypropylene soil mulch
    Audberto Reyes-Rosas, Francisco Domingo Molina-Aiz, Diego Luis Valera Martínez, A. López, Sasirot Khamkure · 2017 · Computers and Electronics in Agriculture
55. An Innovative Adaptive Control System to Regulate Microclimatic Conditions in a Greenhouse
    Giuseppina Nicolosi, Roberto Volpe, Antonio Messineo · 2017 · Energies
56. Assessment of ECMWF SEAS5 Seasonal Forecast Performance over South America
    Stefanie Gubler, Katrin Sedlmeier, Jonas Bhend, G. Avalos, Caio A. S. Coelho, Yury Escajadillo, Martín Jacques‐Coper, Rodney Martínez, Cornelia Schwierz, María de los Milagros Skansi et al. · 2019 · Weather and Forecasting
57. Time Series and Regression Methods for Univariate Environmental Forecasting: An Empirical Evaluation
    Dimitrios Effrosynidis, Evangelos Spiliotis, Georgios K. Sylaios, Avi Arampatzis · 2022 · The Science of The Total Environment
58. A multivariate intelligent decision-making model for retail sales forecasting
    Zhaoxia Guo, Wai Keung Wong, Min Li · 2013 · Decision Support Systems
59. Improving time series forecasting: An approach combining bootstrap aggregation, clusters and exponential smoothing
    Tiago Mendes Dantas, Fernando Luiz Cyrino Oliveira · 2018 · International Journal of Forecasting
60. A hybrid approach for measuring the vibrational trend of hydroelectric unit with enhanced multi-scale chaotic series analysis and optimized least squares support vector machine
    Wenlong Fu, Kai Wang, Chu Zhang, Jiawen Tan · 2019 · Transactions of the Institute of Measurement and Control
61. Evaluation of deep learning with long short-term memory networks for time series forecasting in supply chain management
    Massimo Pacella, Gabriele Papadia · 2021 · Procedia CIRP
62. Automated Short Answer Grading Using Deep Learning: A Survey
    Sridevi Bonthu, S. Rama Sree, M. H. M. Krishna Prasad · 2021 · Lecture notes in computer science
63. Multi-source data driven method for assessing the rock mass quality of a NATM tunnel face via hybrid ensemble learning models
    Mingliang Zhou, Jiayao Chen, Hongwei Huang, Dongming Zhang, Shuai Zhao, Mahdi Shadabfar · 2021 · International Journal of Rock Mechanics and Mining Sciences
64. Comparison of short-term electrical load forecasting methods for different building types
    Arne Groß, Antonia Lenders, Friedhelm Schwenker, Daniel A. Braun, David S. Fischer · 2021 · Energy Informatics
65. Toward Robust Stress Prediction in the Age of Wearables: Modeling Perceived Stress in a Longitudinal Study With Information Workers
    Brandon M. Booth, Hana Vrzáková, Stephen M. Mattingly, Gonzalo J. Martinez, Louis J. Faust, Sidney K. D’Mello · 2022 · IEEE Transactions on Affective Computing
66. Load forecasting using a multivariate meta-learning system
    Marin Matijaš, Johan A. K. Suykens, Slavko Krajcar · 2013 · Expert Systems with Applications
67. Adapting Wright's modification of Holt's method to forecasting intermittent demand
    Nezih Altay A, Frank Rudisill, Lewis A. Litteral · 2007 · International Journal of Production Economics
68. On economic evaluation of directional forecasts
    Oliver Jim Blaskowitz, Helmut Herwartz · 2011 · International Journal of Forecasting
69. Spare parts management for irregular demand items
    Francesco Costantino, Giulio Di Gravio, Riccardo Patriarca, Lea Petrella · 2017 · Omega
70. Application of ensemble empirical mode decomposition based on machine learning methodologies in forecasting monthly pan evaporation
    Mohammad Rezaie-Balf, Özgür Kişi, Lloyd H.C. Chua · 2018 · Hydrology research
71. Feature Engineering and Ensemble-Based Approach for Improving Automatic Short-Answer Grading Performance
    Archana Sahu, Plaban Kumar Bhowmick · 2020 · IEEE Transactions on Learning Technologies
72. From predictive to prescriptive analytics: A data-driven multi-item newsvendor model
    Sushil Punia, Surya Prakash Singh, Jitender Madaan · 2020 · Decision Support Systems
73. A regression unsupervised incremental learning algorithm for solar irradiance prediction
    Boon Keat Puah, Lee Wai Chong, Yee Wan Wong, Mumtaj Begam, Nafizah Goriman Khan, Mohammed Ayoub Juman, Rajprasad Kumar Rajkumar · 2020 · Renewable Energy
74. Artificial neural networks and adaptive neuro-fuzzy inference system in energy modeling of agricultural products
    Ashkan Nabavi‐Pelesaraei, Shahin Rafiee, Fatemeh Hosseini-Fashami, Kwok‐wing Chau · 2020 · Elsevier eBooks
75. High-Performance Estimation of Lead Ion Concentration Using Smartphone-Based Colorimetric Analysis and a Machine Learning Approach
    Samira Sajed, Mohammadreza Kolahdouz, Mohammad Amin Sadeghi, Seyedeh Fatemeh Razavi · 2020 · ACS Omega
76. Traditional vs. Machine-Learning Methods for Forecasting Sandy Shoreline Evolution Using Historic Satellite-Derived Shorelines
    Floris Calkoen, Arjen Pieter Luijendijk, Cristian Rodríguez Rivero, Etiënne Kras, Fedor Baart · 2021 · Remote Sensing
77. Modeling and Forecasting Daily Hotel Demand: A Comparison Based on SARIMAX, Neural Networks, and GARCH Models
    Apostolos Ampountolas · 2021 · Forecasting
78. Three-dimensional reactive transport simulation of Uranium in situ recovery: Large-scale well field applications in Shu Saryssu Bassin, Tortkuduk deposit (Kazakhstan)
    Antoine Collet, Olivier Regnault, Alexandr Ozhogin, Assemgul Imantayeva, Loïc Garnier · 2022 · Hydrometallurgy
79. Demand planning for the digital supply chain: How to integrate human judgment and predictive analytics
    Rebekah Inez Brau, John A. Aloysius, Enno Siemsen · 2023 · Journal of Operations Management
80. Data-driven prediction of electrospun nanofiber diameter using machine learning: A comprehensive study and web-based tool development
    Somboon Sukpancharoen, Thossaporn Wijakmatee, Tossapon Katongtung, Kowit Ponhan, Nopporn Rattanachoung, Sujira Khojitmate · 2024 · Results in Engineering
81. Connexionist-Systems-Based Long Term Prediction Approaches for Prognostics
    Rafael Gouriveau, Noureddine Zerhouni A · 2012 · IEEE Transactions on Reliability
82. Investigation of the performance of a combined solar thermal heat pump hot water system
    Giorgos Panaras, Emmanouil Mathioulakis, Vassilios G. Belessiotis · 2013 · Solar Energy
83. Assessing pelagic fish populations: The application of demersal video techniques to the mid-water environment
    T. Letessier, J. Meeuwig, M. Gollock, Lloyd Groves, P. Bouchet, L. Chapuis, Gabriel M. Vianna, K. Kemp, H. Koldewey · 2013 · Methods in Oceanography
84. Predicting emerging product design trend by mining publicly available customer review data
    Conrad S. Tucker, Harrison Kim · 2011
85. A retail store SKU promotions optimization model for category multi-period profit maximization
    Shaohui Ma, Robert A. Fildes · 2016 · European Journal of Operational Research
86. Social Monitoring for Public Health
    Michael J. Paul, Mark H. Dredze · 2017 · Synthesis lectures on information concepts, retrieval, and services
87. Using a fuzzy TOPSIS-based scenario analysis to improve municipal solid waste planning and forecasting: A case study of Canary archipelago (1999–2030)
    Charles Estay-Ossandon, Ángel Isidro Mena Nieto, Nina Harsch · 2017 · Journal of Cleaner Production
88. Predicting property price index using artificial intelligence techniques
    Rotimi Boluwatife Abidoye, Albert P.C. Chan, Funmilayo Adenike Abidoye, Olalekan Shamsideen Oshodi · 2019 · International Journal of Housing Markets and Analysis
89. Short-Term Load Forecasting Using Smart Meter Data: A Generalization Analysis
    Aida Mehdipour Pirbazari, Mina Farmanbar, Antorweep Chakravorty, Chunming Rong · 2020 · Processes
90. Robust empirical wavelet fuzzy cognitive map for time series forecasting
    Ruobin Gao, Liang Du, Kum Fai Yuen · 2020 · Engineering Applications of Artificial Intelligence
91. Predicting building characteristics at urban scale using graph neural networks and street-level context
    Binyu Lei, Pengyuan Liu, Nikola Milojevic-Dupont, Filip Biljecki · 2024 · Computers Environment and Urban Systems
92. Multisource Data Ensemble Modeling for Clinker Free Lime Content Estimate in Rotary Kiln Sintering Processes
    Weitao Li, Dianhui Wang, Tianyou Chai · 2014 · IEEE Transactions on Systems Man and Cybernetics Systems
93. Does restraining end effect matter in EMD-based modeling framework for time series prediction? Some experimental evidences
    Tao Xiong, Yukun Bao, Zhongyi Hu · 2013 · Neurocomputing
94. Bayesian Forecasting of Many Count-Valued Time Series
    Lindsay R. Berry, Mike West · 2019 · Journal of Business and Economic Statistics
95. A Comparative Study of Predictive Approaches for Load Forecasting in Smart Buildings
    Soubhi Hadri, Youssef NaitMalek, Mehdi Najib, Mohamed Bakhouya, Youssef Fakhri, Mohammed Elaroussi · 2019 · Procedia Computer Science
96. Defining and applying prediction performance metrics on a recurrent NARX time series model
    Ryad M. Zemouri, Rafael Gouriveau, Noureddine Zerhouni A · 2010 · Neurocomputing
97. Comparison of static and adaptive models for short-term residential natural gas forecasting in Croatia
    Primož Potočnik, Božidar Soldo, Goran Šimunović, Tomislav Šarić, Andrej Jeromen, Edvard Govekar · 2014 · Applied Energy
98. Mean-based error measures for intermittent demand forecasting
    Steven Prestwich, Roberto Rossi, Ş. Armağan Tarim, Brahim Hnich B · 2014 · International Journal of Production Research
99. A Low-Cost Data Acquisition System for Automobile Dynamics Applications
    Alejandro González, José Luis Olazagoitia, Jordi Vinolas · 2018 · Sensors
100. On the pointlessness of machine learning based time delayed prediction of TBM operational data
     Georg H. Erharter, Thomas Marcher · 2020 · Automation in Construction