Traders in the futures market shifted the probability of a rate increase by the end of 2026 to 52% on Friday morning.

Abstract: This work presents a deep learning approach for short-term forecasting of active power in photovoltaic (PV) plants operating within islanded microgrids. Three forecasting schemes were ...

LONDON, March 16 (Reuters) - The Bank of England will choose its words even more carefully than usual this week alongside its expected decision to delay an interest rate cut in the face of inflation ...

The worst global oil crisis in decades could become a major problem for the Federal Reserve, whose policymakers meet this week to determine the next moves for the US economy. President Donald Trump’s ...

Uni2TS is a PyTorch based library for research and applications related to Time Series Forecasting. It provides a unified framework for large-scale pre-training, fine-tuning, inference, and evaluation ...

Feb 12 (Reuters) - India's key inflation rate accelerated to 2.75% in January, the maiden print under a revised data series showed on Thursday, returning to the central bank's target band for the ...

South Korean researchers have developed a guided-learning framework that accurately predicts PV power without requiring irradiance sensors during operation, using routine meteorological data instead.

Abstract: Reliable inflation forecasting is essential for informed economic planning and policy implementation, particularly in developing nations like Nigeria. This study adopts a hybrid modeling ...

A forecasting study published in Pharmacoeconomics and Policy analyzes the impact of the Inflation Reduction Act (IRA) on diabetes drug costs for Medicare in Louisiana, USA. The authors found that ...