Dear Colleagues,

The number of Internet-connected devices, referred to as the Internet of Things (IoT), is constantly growing. The huge amount of data they generate by sensing their environment can be used to develop a multitude of smart IoT applications. Nevertheless, many of these use cases, such as prescriptive analytics or predictive maintenance, benefit from forecasts of these data.

In the past, many different research communities explored forecasting systems, each from their own perspective. Relevant work can be found in different areas, including autonomic computing, self-adaptive and self-organizing software and systems, machine learning, artificial intelligence, multi-agent systems, and context-aware systems.

This Special Issue aims to provide a forum for academic researchers and technical professionals to exchange their recent works on advancements in the field. We invite you to submit high-quality research papers—a non-exhaustive set of topics of interest includes:

Evaluation of forecasting methods
Application of forecasting methods
Development support for forecasting systems
Context prediction—models and applications
Contextual computing—models and applications

Conference papers should be cited and noted on the first page of the paper; authors are asked to disclose that it is a conference paper in their cover letter and include a statement on what has been changed compared to the original conference paper. Please note that the submitted extended paper should contain at least 30% new content (e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases). The introduction and conclusion need to be rewritten.