Search Results - "Time series forecasting"

ConformaSegment: A conformal prediction-based, uncertainty-aware, and model-agnostic explainability framework for time-series forecasting

Authors: Yapicioglu, Fatima Rabia Aksoy, Meltem Löfström, Tuwe et al.

Source: PREMACOP Explainable Artificial Intelligence Communications in Computer and Information Science. :218-242

Subject Terms: Conformal Prediction, Model-Agnostic Explainability, Reliable Time Series Explainability, Uncertainty-Aware Explainability, Prediction models, Time series, Uncertainty analysis, Conformal predictions, Interpretability, Prediction interval, Temporal segments, Time series forecasting, Times series, Uncertainty, Forecasting

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-70148
https://doi.org/10.1007/978-3-032-08330-2_11

Selecting effective NWP integration approaches for PV power forecasting with deep learning

Authors: Chen, Dayin Shi, Xiaodan Jiang, Mingkun et al.

Source: Solar Energy. 301

Subject Terms: Forecasting, Numerical weather prediction, Photovoltaic power, Time series forecasting

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-247278
https://doi.org/10.1016/j.solener.2025.113939

Unpacking the trend: decomposition as a catalyst to enhance time series forecasting models

Authors: Kreuzer, Tim Zdravkovic, Jelena Papapetrou, Panagiotis

Source: Data mining and knowledge discovery. 39(5)

Subject Terms: Decomposition, Explainable AI, Machine learning, Time series forecasting

File Description: print

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-245557
https://doi.org/10.1007/s10618-025-01120-8

Anomaly detection using transfer learning for electricity consumption in school buildings: A case of northern Sweden

Authors: Khais Shahid, Zahraa Saguna, Saguna Åhlund, Christer et al.

Source: Energy and Buildings. 346

Subject Terms: Transfer learning, LSTM, Anomaly detection, Energy consumption, School buildings, Time-series forecasting, Pervasive Mobile Computing, Distribuerade datorsystem

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114185
https://doi.org/10.1016/j.enbuild.2025.116129

Probabilistic oil price forecasting with a variational mode decomposition-gated recurrent unit model incorporating pinball loss

Authors: Zhesen Cui Tian Li Zhe Ding et al.

Source: Data Science and Management, Vol 8, Iss 3, Pp 237-247 (2025)

Subject Terms: Time-series forecasting, Electronic computers. Computer science, Deep learning, Decomposition method, QA75.5-76.95, Quantile approach

Access URL: https://doaj.org/article/eca90d9c0c5b438f9da7f41a1bd81bdc

Fusionformer: A Novel Adversarial Transformer Utilizing Fusion Attention for Multivariate Anomaly Detection

Authors: Chuang Wang Zidong Wang Hongli Dong et al.

Source: IEEE Transactions on Neural Networks and Learning Systems. 36:14479-14492

Subject Terms: Fusionformer, slope failure, multivariate time series forecasting, digital mine, adversarial learning

File Description: Print-Electronic

Access URL: https://pubmed.ncbi.nlm.nih.gov/40067732
https://bura.brunel.ac.uk/handle/2438/30887

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting

Authors: Yunyao Cheng Chenjuan Guo Kaixuan Chen et al.

Source: Cheng, Y, Guo, C, Chen, K, Zhao, K, Yang, B, Xie, J, Jensen, C S, Huang, F & Zheng, K 2025, 'Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting', IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 8, pp. 4604-4619. https://doi.org/10.1109/TKDE.2025.3573673

Subject Terms: Machine Learning, FOS: Computer and information sciences, Time series forecasting, 0202 electrical engineering, electronic engineering, information engineering, gaussian process, latent variable model, few-shot learning, 02 engineering and technology, kernel association, Machine Learning (cs.LG)

Access URL: http://arxiv.org/abs/2212.10306

Optimized Hybrid CNN-Residual BiLSTM with Adaptive Prediction System for Enhanced Gas Turbine Performance Forecasting

Authors: Pratama, Andika Fatichah, Chastine

Source: Inform : Jurnal Ilmiah Bidang Teknologi Informasi dan Komunikasi; Vol. 10 No. 2 (2025): In Press: July, 2025; 159-169

Subject Terms: Hybrid Model, Deep Learning, Hyperparameter Optimization, Time Series Forecasting, Predictive Maintenance, Residual Bi-LSTM, Gas Turbine, Compressor Discharge Pressure (PCD)

File Description: application/pdf

Access URL: https://ejournal.unitomo.ac.id/index.php/inform/article/view/10226

Multiplicative Seasonality Prophet Model for PV Energy Forecasting and Anomaly Detection

Authors: Guarino S. Buscemi A. Di Dio V. et al.

Source: 2025 International Conference on Clean Electrical Power (ICCEP). :215-222

Subject Terms: Time series forecasting, Photovoltaic energy production, Prophet model, Anomaly detection, Renewable energy analytics

File Description: application/pdf

Access URL: https://hdl.handle.net/10447/690308
https://doi.org/10.1109/ICCEP65222.2025.11143727

Private Distributed Resource Management Data: Predicting CPU Utilization with Bi-LSTM and Federated Learning

Authors: Carnevale, Lorenzo Balouek, Daniel Sebbio, Serena et al.

Contributors: Carnevale, Lorenzo Balouek, Daniel Sebbio, Serena et al.

Source: 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing (CCGrid). :266-275

Subject Terms: Historical Data, Deep Learning, AIOps, Time-Series Forecasting, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Distributed Intelligence, Cloud Computing

File Description: application/pdf

Access URL: https://hal.science/hal-05196357v1
https://doi.org/10.1109/ccgrid64434.2025.00048
https://hal.science/hal-05196357v1/document

Deep learning architectures applied to wind time series multi-step forecasting

Authors: Manero Font, Jaume

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament de Ciències de la Computació

Thesis Advisors: Béjar Alonso, Javier, Cortés, Ulises, 1960-

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Deep learning, Wind prediction, Time series forecasting, Multi-step prediction, CNN Architecture, RNN architecture, Spectral analysis, Forecastability, Predicció vent, Preidicción viento, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/669283
https://dx.doi.org/10.5821/dissertation-2117-328183

Electronic Bee-Veterinarian: Safeguarding Honeybees Through Technology

Authors: Hossain, Shamima

Source: Open Research and Creative Activities Forum. 1(1)

Subject Terms: Environmental Sensing, Precision Agriculture, Control Systems Engineering, Computational Entomology, Time series forecasting, pollinator health

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/74n0p1rf
https://escholarship.org/content/qt74n0p1rf/qt74n0p1rf.pdf

Forecasting and Trading of the Stable Cryptocurrencies With Machine Learning and Deep Learning Algorithms for Market Conditions

Authors: Shamshad, Hasib Ullah, Fasee Ullah, Asad et al.

Source: IEEE Access. 11:122205-122220

Subject Terms: ADA Cardano, ARIMA, bidirectional LSTM, Binance, cryptocurrency forecasting, deep learning, Ethereum, FB prophet, machine learning, predictive analytics, Regression analysis, support vector regressor, time series forecasting, unidirectional LSTM, Bitcoin, Costs, Errors, Learning algorithms, Long short-term memory, Mean square error, Support vector machines, Autoregressive integrated moving average(ARIMA), Biological system modeling, Block-chain, Facebook, Facebook prophet, Machine-learning, Prediction algorithms, Predictive models, Support vectors machine, Blockchain

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:bth-25642
https://doi.org/10.1109/ACCESS.2023.3327440

Advanced deep learning approaches for forecasting financial market volatility

Authors: Ogunruku, Oyindamola Omolara

Source: GSC Advanced Research and Reviews. 23:277-286

Subject Terms: Risk Management, Deep Learning, Financial Volatility, Time Series Forecasting, Neural Networks, Market Prediction

Natural Language Processing-Based Financial Time Series Forecasting: Utilizing Sentiment Analysis for Improved Stock Price Prediction

Authors: Albert Ntumba Nkongolo Yae Olatoundji Gaba Kafunda Katalay Pierre et al.

Source: Journal of Innovation Information Technology and Application, Vol 7, Iss 1, Pp 19-25 (2025)

Subject Terms: machine learning, stock price prediction, sentiment analysis, Electronic computers. Computer science, time series forecasting, Information technology, QA75.5-76.95, nlp, T58.5-58.64

Access URL: https://doaj.org/article/0147efe1282c49a983e53556c60c35d6

Optimizing Kubernetes Autoscaling with Artificial Intelligence

Authors: Olha Tkhai Nataliia Shapoval

Source: Electronics and Control Systems; Vol. 2 No. 84 (2025); 9-14
Электроника и системы управления; Том 2 № 84 (2025); 9-14
Електроніка та системи управління; Том 2 № 84 (2025); 9-14

Subject Terms: трансфомер, Kolmogorov–Arnold network, прогнозування часових рядів, мережа аналізу Фур'є, до́вга короткоча́сна па́м'ять, Kubernets, Fourier analysis network, time-series forecasting, автомасштабування, мережа Колмогорова–Арнольда, autoscaling, transfomer, Kubernetes, long short-term memory

File Description: application/pdf

Access URL: https://jrnl.nau.edu.ua/index.php/ESU/article/view/20186

WT-DSE-LSTM: A hybrid model for the multivariate prediction of dissolved oxygen

Authors: Xiao Xu Chen Guo Peng Wan et al.

Source: Alexandria Engineering Journal, Vol 124, Iss, Pp 285-296 (2025)

Subject Terms: DO prediction, WT, Multivariate time series forecasting, TA1-2040, LSTM, Engineering (General). Civil engineering (General), CNN, Attention mechanisms

Access URL: https://doaj.org/article/38577194d7994e92b45965bde7025c42

Efficient greenhouse gas prediction using IoT data streams and a CNN-BiLSTM-KAN model

Authors: Jinyu Zhang Liguo Zhao

Source: Alexandria Engineering Journal, Vol 123, Iss, Pp 261-270 (2025)

Subject Terms: Time series forecasting, Greenhouse gas emission prediction, CNN-BiLSTM-KAN model, Deep learning, IoT (internet of things), TA1-2040, Engineering (General). Civil engineering (General)

Access URL: https://doaj.org/article/fbe14fdc515044c1b350b6b12dcdd03a

Resource Time Series Analysis and Forecasting in Large-Scale Virtual Clusters

Authors: Yue Lin Jiamin Wen Xudong Zhang et al.

Source: Big Data Mining and Analytics, Vol 8, Iss 3, Pp 592-605 (2025)

Subject Terms: Electronic computers. Computer science, deep learning, QA75.5-76.95, multivariate time series forecasting, workload forecasting

Access URL: https://doaj.org/article/3c46adcbc8ec4bb78b8e95331a855d8c

Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic Forecasting

Authors: Nikolaos Pavlidis Vasileios Perifanis Selim F. Yilmaz et al.

Contributors: Nikolaos Pavlidis Vasileios Perifanis Selim F. Yilmaz et al.

Source: IEEE Transactions on Sustainable Computing

Subject Terms: Optimization, FOS: Computer and information sciences, Computer Science - Machine Learning, federated learning, mobile networks, Computer Science - Artificial Intelligence, Data models, Time series analysis, Servers, Computational modeling, [INFO] Computer Science [cs], Collaboration, Machine Learning (cs.LG), Predictive models, machine learning, Artificial Intelligence (cs.AI), Training, [INFO]Computer Science [cs], time series forecasting, traffic prediction, 5G, Accuracy, 6G, Forecasting

Access URL: http://arxiv.org/abs/2412.04081