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Demand Forecasting

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Showing 51–100 of 212 papers

TitleStatusHype
Federated Deep Learning in Electricity Forecasting: An MCDM Approach—0
Deep Neural Networks for Choice Analysis: A Statistical Learning Theory Perspective—0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Deep Reinforcement Learning-Assisted Federated Learning for Robust Short-term Utility Demand Forecasting in Electricity Wholesale Markets—0
A Daily Tourism Demand Prediction Framework Based on Multi-head Attention CNN: The Case of The Foreign Entrant in South Korea—0
DeepSTCL: A Deep Spatio-temporal ConvLSTM for Travel Demand Prediction—0
Demand Forecasting for Electric Vehicle Charging Stations using Multivariate Time-Series Analysis—0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
Demand Forecasting in Smart Grid Using Long Short-Term Memory—0
Demand Forecasting in Supply Chain Management for Rossmann Stores Using Weather Enhanced Deep Learning Model—0
Demand Forecasting of Individual Probability Density Functions with Machine Learning—0
Demand forecasting techniques for build-to-order lean manufacturing supply chains—0
Australia's long-term electricity demand forecasting using deep neural networks—0
Electricity Demand Forecasting through Natural Language Processing with Long Short-Term Memory Networks—0
Electricity Demand Forecasting by Multi-Task Learning—0
A Trainable Reconciliation Method for Hierarchical Time-Series—0
A machine learning approach to itinerary-level booking prediction in competitive airline markets—0
Electrical peak demand forecasting- A review—0
Electricity Demand Forecasting with Hybrid Statistical and Machine Learning Algorithms: Case Study of Ukraine—0
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network—0
Energy Predictive Models with Limited Data using Transfer Learning—0
Enhanced N-BEATS for Mid-Term Electricity Demand Forecasting—0
Improving Demand Forecasting in Open Systems with Cartogram-Enhanced Deep Learning—0
Travel Demand Forecasting: A Fair AI Approach—0
Enriching Artificial Intelligence Explanations with Knowledge Fragments—0
Ensemble Forecasting of Monthly Electricity Demand using Pattern Similarity-based Methods—0
Exploring Quantum Neural Networks for Demand Forecasting—0
Exploring the impact of weather on Metro demand forecasting using machine learning method—0
Fairness-enhancing deep learning for ride-hailing demand prediction—0
Fairness-Enhancing Vehicle Rebalancing in the Ride-hailing System—0
Federated Dynamic Modeling and Learning for Spatiotemporal Data Forecasting—0
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks—0
F-FOMAML: GNN-Enhanced Meta-Learning for Peak Period Demand Forecasting with Proxy Data—0
Flight Demand Forecasting with Transformers—0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach—0
A Novel Hybrid Approach to Contraceptive Demand Forecasting: Integrating Point Predictions with Probabilistic Distributions—0
Elasticity Based Demand Forecasting and Price Optimization for Online Retail—0
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting—0
Generative AI in Transportation Planning: A Survey—0
GeoTransformer: Enhancing Urban Forecasting with Dependency Retrieval and Geospatial Attention—0
ATM Cash demand forecasting in an Indian Bank with chaos and deep learning—0
GNN-based Probabilistic Supply and Inventory Predictions in Supply Chain Networks—0
Data Pre-Processing and Evaluating the Performance of Several Data Mining Methods for Predicting Irrigation Water Requirement—0
Efficient Assessment of Electricity Distribution Network Adequacy with the Cross-Entropy Method—0
Demand Forecasting using Long Short-Term Memory Neural Networks—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
Algorithmic Decision-Making Safeguarded by Human Knowledge—0
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction—0
Hierarchical Demand Forecasting Benchmark for the Distribution Grid—0
Actionable Cognitive Twins for Decision Making in Manufacturing—0
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