Abstract: This paper proposes a direct model for conditional probability density forecasting of residential loads, based on a deep mixture network. Probabilistic residential load forecasting can ...

EU’s foreign policy chief says many countries still ‘want to join our club’ EU’s Kallas is speaking on the main stage now. In her first response to Rubio’s speech yesterday, she somewhat snarkily says ...

The iQRM Warm-Ups are short, half hour sessions that review the basics covered in iQRM. This is a tour of the foundational math without application. The seminar covers probability, the normal ...

Possibility theory and conditional probability offer complementary perspectives for modelling uncertainty, with each framework contributing distinct advantages. Possibility theory, rooted in fuzzy set ...

Marshall Hargrave is a stock analyst and writer with 10+ years of experience covering stocks and markets, as well as analyzing and valuing companies. Yarilet Perez is an experienced multimedia ...

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Abstract: In recent years, spatiotemporal data has played a crucial role in weather, transportation, and disease transmission within the context of the Internet of Things (IoT). However, due to cost ...

where $l$ and $u$ are the lower and upper probability bounds, while $\phi$ and $\psi$ denote propositional logic formulas. For example the following two sentences ...