Search Results - Forecasting algorithm comparison

Visualising forecasting algorithm performance using time series instance spaces by Kang, Yanfei, Hyndman, Rob J., Smith-Miles, Kate

“…It is common practice to evaluate the strength of forecasting methods using collections of well-studied time series datasets, such as the M3 data…”
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Analysis and Comparison of Forecasting Algorithms for Telecom Customer Churn by Jiao, Gui’e, Xu, Hong

“…The integrated algorithm is a highly flexible data analysis and prediction algorithm…”
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Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches by Bouktif, Salah, Fiaz, Ali, Ouni, Ali, Serhani, Mohamed

“…Background: With the development of smart grids, accurate electric load forecasting has become increasingly important as it can help power companies in better load scheduling and reduce excessive electricity production…”
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A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings by Alawadi, Sadi, Mera, David, Fernández-Delgado, Manuel, Alkhabbas, Fahed, Olsson, Carl Magnus, Davidsson, Paul

“…The international community has largely recognized that the Earth’s climate is changing. Mitigating its global effects requires international actions. The…”
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Comparison of algorithms for forecasting effective thicknesses: Case study of a field of the Krasnoleninsky oil and gas area by Ilyas R. Gelvanov, Vladislav I. Kuznetsov

“…Background. Currently, when solving the tasks of exploration of territories, the possibility of using the 3D seismic survey method and modern interpretation of…”
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Comparison and Explanation of Forecasting Algorithms for Energy Time Series by Zhang, Yuyi, Ma, Ruimin, Liu, Jing, Liu, Xiuxiu, Petrosian, Ovanes, Krinkin, Kirill

“…In this work, energy time series forecasting competitions from the Schneider Company, the Kaggle Online platform, and the American society ASHRAE were considered…”
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A Performance Comparison of Machine Learning Algorithms for Load Forecasting in Smart Grid by Alquthami, Thamer, Zulfiqar, Muhammad, Kamran, Muhammad, Milyani, Ahmad H., Rasheed, Muhammad Babar

“… Therefore, precise energy demand estimation and short and/or long-term forecasting results with higher accuracy are required to develop the optimization and control mechanism…”
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Comparison of Time Series Methods and Machine Learning Algorithms for Forecasting Taiwan Blood Services Foundation’s Blood Supply by Shih, Han, Rajendran, Suchithra

“… This study aims to efficiently forecast the supply of blood components at blood centers. Methods. Two different types of forecasting techniques, time series and machine…”
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Comparison of different optimized machine learning algorithms for daily river flow forecasting by Samui, Pijush, Yesilyurt, Sefa Nur, Dalkilic, Huseyin Yildirim, Yaseen, Zaher Mundher, Roy, Sanjiban Sekhar, Kumar, Sanjay

“… The ultimate aim of this research is to establish high performance forecasting model. Therefore, this study conducts river flow modeling by using the daily data attained from a gauge station situated in the Euphrates Basin. For this purpose…”
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Neural network earnings per share forecasting models: A comparison of backward propagation and the genetic algorithm by Cao, Qing, Parry, Mark E.

“…Zhang, Cao, and Schniederjans [W. Zhang, Q. Cao, M. Schniederjans, Neural Network Earnings Per Share Forecasting Models…”
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Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms by Lago, Jesus, De Ridder, Fjo, De Schutter, Bart

“…•The largest benchmark to date in electricity price forecasting is presented.•27 state-of-the-art methods for predicting electricity prices are compared…”
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Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms by Tyralis, Hristos, Papacharalampous, Georgia, Langousis, Andreas

“…Daily streamflow forecasting through data-driven approaches is traditionally performed using a single machine learning algorithm…”
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Deep Learning Algorithms for Traffic Forecasting: A Comprehensive Review and Comparison with Classical Ones by Afandizadeh, Shahriar, Abdolahi, Saeid, Mirzahossein, Hamid

“… This paper aims to comprehensively review deep learning algorithms and classical models employed in traffic forecasting…”
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A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem by Ahmed, Ali Najah, Van Lam, To, Hung, Nguyen Duy, Van Thieu, Nguyen, Kisi, Ozgur, El-Shafie, Ahmed

“… to hybridize the recently developed physics-inspired metaheuristic algorithms (MHAs) such as Equilibrium Optimization (EO…”
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Comparison of Forecasting Algorithms on Retail Data by Dincoglu, Pelin, Aygun, Huseyin

“… sales and preventing customer loss. In this study, sales forecasting will be performed by using regression and time series algorithms on the sales data of two stores…”
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Comparison Fletcher-Reeves and Polak-Ribiere ANN Algorithm for Forecasting Analysis by Hasibuan, Eka Hayana, Hendraputra, Surya, Achmad Daengs, GS, Saragih, Liharman

“… can be used as a reference and information for solving forecasting problems. The ANN algorithms compared were Conjugate Gradient Fletcher-Reeves and Conjugate Gradient Polak-Ribiere…”
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Fuzzy neural network and LLE Algorithm for forecasting precipitation in tropical cyclones: comparisons with interpolation method by ECMWF and stepwise regression method by Huang, Ying, Jin, Long, Zhao, Hua-sheng, Huang, Xiao-yan

“…) and a locally linear embedding (LLE) algorithm. The LLE algorithm is capable of finding meaningful low-dimensional architectures hidden in their nonlinear high-dimensional data space and separating the underlying factors…”
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Comparison of the genetic algorithm and pattern search methods for forecasting optimal flow releases in a multi-storage system for flood control by Leon, Arturo S., Bian, Linlong, Tang, Yun

“…This paper compares the well-known genetic algorithm (GA) and pattern search (PS) optimization methods for forecasting optimal flow releases in a multi-storage system for flood control…”
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Comparison of Machine Learning Algorithms for Daily Runoff Forecasting with Global Rainfall Products in Algeria by Bounab, Rayane, Boutaghane, Hamouda, Boulmaiz, Tayeb, Tramblay, Yves

“… to (i) compare a conceptual model (GR4J) and seven machine learning algorithms (FFNN, ELM, LSTM, LSTM2, GRU, SVM, and GPR) and (ii…”
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Performance Comparison of an LSTM-based Deep Learning Model versus Conventional Machine Learning Algorithms for Streamflow Forecasting by Rahimzad, Maryam, Moghaddam Nia, Alireza, Zolfonoon, Hosam, Soltani, Jaber, Danandeh Mehr, Ali, Kwon, Hyun-Han

“…Streamflow forecasting plays a key role in improvement of water resource allocation, management and planning, flood warning and forecasting, and mitigation of flood damages…”
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