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A case study of spatiotemporal forecasting techniques for weather forecasting
The majority of real-world processes are spatiotemporal, and the data generated by them exhibits both spatial and temporal evolution. Weather is one...
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Systematizing Macroframework Forecasting: High-Dimensional Conditional Forecasting with Accounting Identities
Forecasting multiple macroeconomic variables with accounting identity restrictions, also known as macroframework, is useful for presenting an...
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Flood Forecasting
Flood forecasting models are a key component in many flood warning systems, helping to extend warning lead times, thereby giving communities and...
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Grey Forecasting Mechanism, Models and Applications
This book aims to present an overview of grey system models for time series modelling and forecasting. It is about modelling and forecasting time...
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Nonlinear fuzzy forecasting system for wind speed interval forecasting based on self-adaption feature selecting and Bi-LSTM
Accurate wind speed forecasting can effectively improve the balance of wind power generation and reduce the consumption of power system. However,...
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Forecasting emotions: exploring the relationship between self-control, affective forecasting, and self-regulatory behavior
Empirical evidence has shown that people with better self-control to a greater extent have the self-regulatory ability to act in line with their...
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Enhancing Flooding Depth Forecasting Accuracy in an Urban Area Using a Novel Trend Forecasting Method
Accurate flood runoff and water level predictions are crucial research topics due to their significance for early warning systems, particularly in...
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Hydrological Forecasting
Hydrological models underpin many hydrometeorological forecasting techniques and include rainfall-runoff, flow routing and statistical approaches....
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Evaluation of a weather forecasting model and HEC-HMS for flood forecasting: case study of Talesh catchment
Reports demonstrate that floods are among the most prevalent and deadliest natural disasters affecting 520 million people annually. The present study...
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Machine learning for data-centric epidemic forecasting
The COVID-19 pandemic emphasized the importance of epidemic forecasting for decision makers in multiple domains, ranging from public health to the...
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Towards scientific forecasting of magmatic eruptions
Forecasting eruptions is a fundamental goal of volcanology. However, difficulties in identifying eruptive precursors, fragmented approaches and lack...
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Forecasting system with sub-model selection strategy for photovoltaic power output forecasting
Photovoltaic power output forecasting has been focused on worldwide due to its environmental benefits and soaring load demand of the electricity...
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Invoice level forecasting with discrete survival methods for effective forecasting of account receivables in supply chain
The objective of this study is to obtain accurate and timely Account Receivables forecasts that can feed into the Cash Flow Forecasting (CFF) for a...
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Forecasting software indicators: an industry-academia collaboration
ContextNowadays software-development organizations are urged to exploit their data for empowering their decision-making processes. Such data may be...
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Forecasting with Artificial Intelligence Theory and Applications
This book is a comprehensive guide that explores the intersection of artificial intelligence and forecasting, providing the latest insights and...
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Meteorological Forecasting
Meteorological forecasts offer the potential to extend the time available for decision-making in hydrological applications. In addition to the...
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Online Aggregation of Conformal Forecasting Systems
Abstract —The problem of online probabilistic time series forecasting is considered. Probabilistic forecasts are obtained as a result of the...
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Population Fusion Transformer for Subnational Population Forecasting
Forecasting the subnational population accurately is needed for sustainable development, including planning for the future, allocating resources, or...
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Foresight plus: serverless spatio-temporal traffic forecasting
Building a real-time spatio-temporal forecasting system is a challenging problem with many practical applications such as traffic and road network...
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Water Quality Forecasting
Water quality forecasting models are increasingly used to help with managing rivers, lakes and reservoirs. Applications include early warnings...