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Demand Forecasting

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Showing 126–150 of 212 papers

TitleStatusHype
Flight Demand Forecasting with Transformers—0
State-Space Models Win the IEEE DataPort Competition on Post-covid Day-ahead Electricity Load Forecasting—0
A Clustering-aided Ensemble Method for Predicting Ridesourcing Demand in Chicago—0
Model retraining and information sharing in a supply chain with long-term fluctuating demands—0
Spatio-temporal Parking Behaviour Forecasting and Analysis Before and During COVID-19—0
Electrical peak demand forecasting- A review—0
Demand Forecasting in Smart Grid Using Long Short-Term Memory—0
Tsformer: Time series Transformer for tourism demand forecasting—0
Smoothed Bernstein Online Aggregation for Day-Ahead Electricity Demand Forecasting—0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties—0
Elasticity Based Demand Forecasting and Price Optimization for Online Retail—0
Univariate Long-Term Municipal Water Demand Forecasting—0
XAI-KG: knowledge graph to support XAI and decision-making in manufacturing—0
Implementing Reinforcement Learning Algorithms in Retail Supply Chains with OpenAI Gym Toolkit—0
Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands—0
Probabilistic water demand forecasting using quantile regression algorithms—0
STARdom: an architecture for trusted and secure human-centered manufacturing systems—0
Semantic XAI for contextualized demand forecasting explanations—0
Towards Active Learning Based Smart Assistant for Manufacturing—0
Actionable Cognitive Twins for Decision Making in Manufacturing—0
Reframing demand forecasting: a two-fold approach for lumpy and intermittent demand—0
A machine learning approach to itinerary-level booking prediction in competitive airline markets—0
Application-Driven Learning: A Closed-Loop Prediction and Optimization Approach Applied to Dynamic Reserves and Demand Forecasting—0
Policy choices can help keep 4G and 5G universal broadband affordableCode0
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models—0
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