IEEE

Comparative Analysis of Deep Learning Models for Long-Term Electricity Demand Forecasting in Bangladesh Using Web-Scraped Data

Abstract: As energy demand continues to rise in Bangladesh, there is a growing need for more accurate forecasting methods to improve the balance between electricity supply and consumption. Despite ...

Drone LiDAR surveys of abandoned roads reveal long-term debris-flow hazards

A research team led by University of Tsukuba has developed a new method to estimate long-term debris supply from steep slopes by measuring debris accumulated on decades-old abandoned roads. Debris ...

TransAlta Reports Fourth Quarter and Year End 2025 Results, Announces Data Centre Agreement, Declares Dividend Increase and Provides 2026 Outlook

CALGARY, Alberta, Feb. 27, 2026 (GLOBE NEWSWIRE) -- TransAlta Corporation (TransAlta or the Company) (TSX: TA) (NYSE: TAC) today reported its financial results for the fourth quarter and year ended ...

Improved short-term sea level change predictions achieved with better AI training

Sea level can temporarily change for a variety of reasons—atmospheric pressure shifts and water accumulation from wind and ...

PPL Corporation: A Stable Utility With Measured Growth Optionality

PPL Corp. offers stable earnings, operational efficiency, and a reliable dividend, positioning it as a solid long-term utility hold. Read this PPL stock update.

Envirotech Vehicles Accepts Delivery of AZIO AI High-Performance Compute Systems in South Texas; Installation and Commissioning Planned as Multi-Site Expansion Discussions Advance

Delivery Marks Advancement of Collaborative Deployment Efforts as Due Diligence Continues and Infrastructure Planning ...
IEEE

A Multi-Phase Deep Learning Framework for Multi-Step Short-Term Wind Power Forecasting in Presence of Uncertainties

Abstract: With the expanding share of wind energy in power grids, accurate forecasting has become critical for maintaining system stability and operational efficiency. Notwithstanding, forecasting ...