In the heart of Italy, a groundbreaking study is shedding light on how flexible energy demand could revolutionize the integration of solar power into the grid, potentially slashing costs and easing the transition to renewable energy. Led by Elisa Ver
Italy’s Flexible Demand Breakthrough Slashes Solar Integration Costs Read More »
In the rapidly evolving energy landscape of Japan, a groundbreaking study led by Shinji Hirota from the Department of Electrical Engineering at Tokyo University of Science is shedding new light on how to predict wholesale electricity market prices wi
Tokyo University Unveils AI Model to Predict Japan’s Wholesale Energy Prices Read More »
In the heart of Norway, a country renowned for its vast hydropower resources, a new study is shedding light on the potential role of rooftop solar power in the nation’s energy future. Published in the journal “Advanced Energy and Sustainability Resea
Norway’s Solar Surge: Rooftop PV Could Power 10% of 2050 Grid Read More »
In the quest for cleaner energy, wind power has emerged as a formidable contender, but its intermittent nature poses significant challenges to grid stability. Accurate forecasting of wind turbine power output is crucial for maintaining the safety and
Dalian’s B²MTGP Model Slashes Wind Power Forecast Errors by 91% Read More »
In the quest to harness the sun’s energy more efficiently, researchers have developed a novel approach to predict the power output of distributed photovoltaic (PV) systems, potentially revolutionizing regional solar power management. Yueyuan Zhang, a
AI-Powered Solar Forecasting Revolutionizes Regional Power Management Read More »
Researchers from various institutions, including the University of Seville and the University of Malaga in Spain, have published a comprehensive review on hydrogen production technologies and their future demand. This research, published in the Inter
Hydrogen Horizons: Innovating Towards a Green Energy Future Read More »
In a significant stride towards enhancing geological carbon sequestration (GCS) efforts, researchers from the University of Texas at Austin have introduced a novel approach to improve the accuracy and efficiency of subsurface flow modeling. The team,
UT Austin’s AI Breakthrough Revolutionizes Carbon Sequestration Modeling Read More »
Researchers from the University of Texas at Austin and the National Renewable Energy Laboratory have developed a new machine learning approach to optimize wind farm layouts for maximum energy production. This research, published in the journal Applie
AI Optimizes Wind Farms: 2.05% More Energy, Less Cost Read More »
Researchers from the University of Oxford have been investigating the impact of blade camber on the performance and loading of cross-flow turbines, a type of renewable energy technology that can harness power from both wind and tidal sources. Their f
Oxford Study Unveils Blade Design Secrets for Better Cross-Flow Turbines Read More »
Researchers from various institutions, including the University of New South Wales and the Helmholtz-Zentrum Berlin for Materials and Energy, have published a comprehensive review of thin-film photovoltaic (PV) technologies in the journal Nature Ener
Thin-Film Solar Tech: A Bright Future for Sustainable Energy Read More »
