JA Solar, TCL Zhonghuan, JinkoSolar, Trina Solar and Daqo each announced significant losses for full fiscal year 2025 amid continued price declines and overcapacity.
Abstract: Forecasting models employing machine learning (ML) and deep learning (DL) have become fundamental for assessing the technical feasibility of renewable energy systems. Among these, solar ...
Axinar has launched SolBox, a direct PV water heating system that powers electric resistance accumulators without thermal collectors. It’s designed for homes and businesses, offering real-time ...
A new vertical solar tracking system designed to make solar energy more efficient and cost-effective for regions located ...
Abstract: This research aims to develop an accurate and efficient deep learning approach for forecasting Global Horizontal Irradiance (GHI) to facilitate better integration of solar energy into ...
Abstract: Solar energy forecasting presents a critical component for maximizing the utilization of energy from renewable sources, but it remains unclear whether the role that Atmospheric variability ...
In the late 1980s, when Switzerland was just beginning to experiment with solar power, engineers bolted a few shiny panels onto rooftops, mountain stations, and even utility-scale farms. They probably ...
Australia will require natural gas exporters to reserve as much as a quarter of new production for domestic use, in a bid to tackle high prices and a forecast shortfall on its more populated east ...
The sweeping changes have affected everything from coal plant retirements to international diplomacy over shipping emissions. By Brad Plumer Lisa Friedman Maxine Joselow and Scott Dance Reporting from ...
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