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 ...

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Before ChatGPT could write essays, explain tax code, or summarize earnings reports, it had to master something far simpler but no less profound: probability. While headlines may credit “artificial ...

Conditional use permits allow deviation from zoning laws, enhancing property utility. Getting a CUP involves an application, fee, and possibly a public hearing. CUPs can increase property value and ...

When is it appropriate to completely reinvent the wheel? To an outsider, that seems to happen a lot in category theory, and probability theory isn’t spared from this treatment. We’ve had a useful ...

Conditional generation in AI and ML is the process of creating outputs based on specific conditions or constraints once inputs are given. In the context of AI and machine learning, conditional ...