Oversimplifies trends and ignores real-world disruptions. Can’t predict economic downturns, competitor actions and shifts in customer behavior on its own. Ignores randomness; every forecast will have ...

Abstract: Accurate probabilistic forecasting of distributed photovoltaic (DPV) ultra-short-term power is of great significance for the operation and scheduling of distribution networks. To address the ...

This project implements state-of-the-art deep learning models for financial time series forecasting with a focus on uncertainty quantification. The system provides not just point predictions, but ...

Abstract: Forecasting the photovoltaic (PV) power generation plays a key role in facilitating the grid integration of the technology by reducing the amount and cost of imbalances caused by the ...

Analysts' ratings for Sealed Air (NYSE: SEE) over the last quarter vary from bullish to bearish, as provided by 8 analysts. The table below offers a condensed view of their recent ratings, showcasing ...

Many government contractors still rely on fragmented systems and static spreadsheets to project what’s ahead. That approach may work for tracking awarded contracts, but it fails to support confident ...

Forbes contributors publish independent expert analyses and insights. Writes about the future of finance and technology, follow for more. It's easy to forget that beneath the surface of every smart ...