BeInCrypto

Prediction Markets vs. Polls: Which Forecasts Better and When?

During the 2024 U.S. presidential election, the crypto prediction platform Polymarket priced several outcomes closer to the ...
GitHub

WindFM: An Open-Source Foundation Model for Zero-Shot Wind Power Forecasting

Existing forecasting methods often force a trade-off: either train a highly specialized model for each site (which is costly and doesn't scale) or adapt a large, general-purpose model (which can be ...
Tech Xplore

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
Phys.org

AI model improves flood forecasting with higher accuracy than current methods

New paired studies from the University of Minnesota Twin Cities show that machine learning can improve the prediction of floods. The studies, published in Water Resources Research and the Proceedings ...
The Herald SC

How to pay an invoice: Types of payment methods with examples

Paying invoices sounds simple enough. A vendor creates an invoice and sends a bill, your team approves it, and the money goes out. In practice, though, invoice payments are where a lot of finance ...
IEEE

A Few-Shot Multi-Energy Demand Forecasting Method Based on Meta-Learning Graph Neural Network

Abstract: Forecasting user-level multi-energy demand under data scarcity is challenging due to the strong spatial interdependencies among users and the complex coupling across heterogeneous energy ...
Business Insider

Kalshi may be more useful than some traditional economic forecasting methods, Fed researchers find

Kalshi says it's more than just betting and that it offers high-quality forecasts. Now, a research paper from a group of Federal Reserve economists is backing that up. The researchers found that ...
The Next Platform

Nvidia Takes The Open Road In AI Weather Forecasting

Amid the myriad discussions about AI – from the astounding amount of money being spent by vendors and enterprises and the debate about actual ROI those businesses are getting to the technology’s ...
T&D

Advancing Long-Term Forecasting for Tomorrow’s Grid

Traditional long-term forecasting models are no longer sufficient as electrification, DER growth, EV adoption, extreme weather events and new large loads introduce unprecedented complexity. The future ...
Forbes

The Polymarket Effect: How Prediction Markets Are Beating The Experts

People are now betting on everything. Prediction markets are amplifying those signals. The timing of the U.S. government shutdown. The likelihood of Taylor Swift canceling a tour date. The exact day ...
Frontiers

Ultra-short-term load forecasting and risk assessment method for distribution networks based on the VMD–DeepAR model

With increasing uncertainties on both the generation and load sides in power systems, ultra-short-term load forecasting (USTLF) and risk assessment have become crucial for ensuring the secure and ...