Výsledky vyhledávání - Forecasting algorithm comparison

A comparison of machine learning algorithms for forecasting indoor temperature in smart buildings

Autoři: Alawadi, Sadi Mera, David Fernandez-Delgado, Manuel a další

Zdroj: Energy Systems, Springer Verlag. 13(3):689-705

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-13827
https://doi.org/10.1007/s12667-020-00376-x

Comparison of Forecasting Algorithms on Retail Data

Autoři: Dinçoğlu, Pelin Aygün, Hüseyin Maltepe University Institutionl repository

Přispěvatelé: Dinçoğlu, Pelin Aygün, Hüseyin Maltepe University Institutionl repository

Zdroj: 2022 10th International Symposium on Digital Forensics and Security (ISDFS). :1-4

Témata: Sales forecasting, Time series, 0502 economics and business, 05 social sciences, Data mining, Regression

Přístupová URL adresa: https://hdl.handle.net/20.500.12415/3289

Comparison of Load Forecasting Algorithm for Industrial Loads

Autoři: Akash K Arulmozhi V Aswathi Balakrishnan a další

Zdroj: 2023 International Conference on Control, Communication and Computing (ICCC). :1-4

Daily Water Level Prediction of Zrebar Lake (Iran): A Comparison between M5P, Random Forest, Random Tree and Reduced Error Pruning Trees Algorithms

Autoři: Nhu, Viet-Ha Shahabi, Himan Nohani, Ebrahim a další

Zdroj: ISPRS International Journal of Geo-Information. 9(8)

Témata: lake water level, lag time, decision tree algorithms, prediction accuracy, forecasting water level, Soil Mechanics, Geoteknik

Popis souboru: electronic

Přístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80289
https://doi.org/10.3390/ijgi9080479

A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

Autoři: Rodriguez-Rodriguez, Ignacio Rodriguez, José-Victor Woo, Wai Lok a další

Témata: Journal Article, PeerReviewed

URL: https://doi.org/10.3390/app11041742
https://eprints.lancs.ac.uk/id/eprint/171689/
https://eprints.lancs.ac.uk/id/eprint/171689
https://doi.org/10.3390/app11041742

A Comparison of Feature Selection and Forecasting Machine Learning Algorithms for Predicting Glycaemia in Type 1 Diabetes Mellitus

Autoři: Ignacio Rodríguez-Rodríguez José-Víctor Rodríguez Wai Lok Woo a další

Zdroj: Applied Sciences, Vol 11, Iss 4, p 1742 (2021)

Témata: diabetes mellitus, machine learning, feature selection, time series forecasting, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999

Popis souboru: electronic resource

Relation: https://www.mdpi.com/2076-3417/11/4/1742; https://doaj.org/toc/2076-3417

Přístupová URL adresa: https://doaj.org/article/e9f691de81c848e293400c0e0d967615

Current Icing Potential : Algorithm Description and Comparison with Aircraft Observations

Autoři: Bernstein, Ben C. McDonough, Frank Politovich, Marcia K. a další

Zdroj: Journal of Applied Meteorology (1988-2005), 2005 Jul 01. 44(7), 969-986.

Přístupová URL adresa: https://www.jstor.org/stable/26185708

Forecasting New Zealand Mudsnail Invasion Range: Model Comparisons Using Native and Invaded Ranges

Autoři: Loo, Sarina E. Mac Nally, Ralph Lake, P. S.

Zdroj: Ecological Applications, 2007 Jan 01. 17(1), 181-189.

Přístupová URL adresa: https://www.jstor.org/stable/40061986

Optimal deep learning LSTM model for electric load forecasting using feature selection and genetic algorithm: Comparison with machine learning approaches

Autoři: Bouktif, Salah Fiaz, Ali Ouni, Ali a další

Témata: Article publié dans une revue, révisé par les pairs, Non évalué par les pairs

URL: https://espace2.etsmtl.ca/id/eprint/17272/
https://espace2.etsmtl.ca/id/eprint/17272
http://dx.doi.org/10.3390/en11071636
10.3390/en11071636

Improving accuracy for crop yield prediction using Adaboost algorithm comparison with decision tree.

Autoři: Faizan, G. Syed Khilar, Rashmita

Zdroj: AIP Conference Proceedings; 2025, Vol. 3267 Issue 1, p1-7, 7p

Témata: CROP yields, BOOSTING algorithms, STATISTICAL accuracy, AGRICULTURAL forecasts, DECISION trees, DATA analysis, MACHINE learning, FORECASTING

A Comparison of Exhaust Condensation Trail Forecast Algorithms at Low Relative Humidity

Autoři: Walters, Michael K. Shull, Jeffrey D. Asbury, Robert P.

Zdroj: Journal of Applied Meteorology (1988-2005), 2000 Jan 01. 39(1), 80-91.

Přístupová URL adresa: https://www.jstor.org/stable/26183384

An Optimized Power Load Forecasting Algorithm Based on VMD‐SMA‐LSTM.

Autoři: Liu, Wei Hua, Fan Cui, Yongping a další

Zdroj: Energy Science & Engineering; Jun2025, Vol. 13 Issue 6, p3243-3253, 11p

Témata: ELECTRIC power distribution grids, RANDOM forest algorithms, ELECTRONIC data processing, FORECASTING, DATA analysis, LOAD forecasting (Electric power systems)

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

Autoři: Salah Bouktif Ali Fiaz Ali Ouni a další

Zdroj: Energies, Vol 11, Iss 7, p 1636 (2018)

Témata: deep neural networks, long short term memory networks, short- and medium-term load forecasting, machine learning, feature selection, genetic algorithm, Technology

Popis souboru: electronic resource

Relation: http://www.mdpi.com/1996-1073/11/7/1636; https://doaj.org/toc/1996-1073

Přístupová URL adresa: https://doaj.org/article/ad514c7fb4344cfc9bf90f8ddf302d07

Forecasting GDP growth : a comprehensive comparison of employing machine learning algorithms and time series regression models

Autoři: Premraj, Pirasant Andersson, Jonas

Přispěvatelé: Premraj, Pirasant Andersson, Jonas

Dostupnost: https://hdl.handle.net/11250/2644655

Evnomics: A Machine Learning Framework for Discerning and Forecasting Electric Vehicle Total Cost Of Ownership

Autoři: Sravani, Ms . Nellipudi Sai Settu, Dr Sivabalan PHD Postdoc

Témata: Electric Vehicles (EVs),Machine Learning (ML),Price Prediction,Cost Estimation,Algorithm Comparison

Daily Peak-Valley Electric-Load Forecasting Based on an SSA-LSTM-RF Algorithm.

Autoři: Wang, Yaoying Sun, Shudong Cai, Zhiqiang

Zdroj: Energies (19961073); Dec2023, Vol. 16 Issue 24, p7964, 21p

Témata: FORECASTING, RANDOM forest algorithms, SEARCH algorithms, ALGORITHMS, TIME series analysis

COMPARISON OF LINEAR REGRESSION, NEURAL NET, AND ARIMA METHODS FOR SALES PREDICTION OF INSTRUMENTATION AND CONTROL PRODUCTS IN PT. SARANA INSTRUMENT.

Autoři: Sidabutar, Master Maruahal Firmansyah, Gerry

Zdroj: Journal Research of Social Science, Economics & Management; Mar2023, Vol. 2 Issue 8, p1694-1705, 12p

Témata: REGRESSION analysis, NEURAL computers, BOX-Jenkins forecasting, SALES, PREDICTION models

基于LGWO-XGBoost-LightGBM-GRU 的短期电力负荷预测算法.

Alternate Title: Short-term Power Load Forecasting Algorithm Based on LGWO-XGBoost-LightGBM-GRU.

Autoři: 王海文 谭爱国 彭赛 a další

Zdroj: Journal of Hubei Minzu University (Natural Science Edition). Mar2025, Vol. 43 Issue 1, p73-79. 7p.

Synthetic Ensemble Forecasts: Operations‐Based Evaluation and Inter‐Model Comparison for Reservoir Systems Across California.

Autoři: Brodeur, Zachary P. Taylor, William Herman, Jonathan D. a další

Zdroj: Water Resources Research; Jun2025, Vol. 61 Issue 6, p1-19, 19p

Témata: EVIDENCE gaps, RISK assessment, HYDROLOGY, ALGORITHMS, STORAGE

基于CEEMDAN 和HBA-BiGRU-SelfAttention 的短期负荷预测.

Alternate Title: Short-term power load prediction based on CEEMDAN and HBA-BIGRU-SelfAttention.

Autoři: 朱婷 颜七笙

Zdroj: Journal of Nanjing University of Information Science & Technology (Natural Science Edition) / Nanjing Xinxi Gongcheng Daxue Xuebao (ziran kexue ban). Jul2025, Vol. 17 Issue 4, p478-493. 16p.

Témata: *Feature extraction, Hilbert-Huang transform, Random forest algorithms, Power series, Time series analysis, Load forecasting (Electric power systems)