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Energizing India

Researchers from UC Santa Barbara recommend India increase its target to 600 GW of renewable capacity by 2030. Meeting high renewable targets would not avert the need to build fossil fuel power plants due to specific weather patterns and peak electricity demand requirements.

SourceUniversity of California - Santa Barbara·JournalProceedings of the National Academy of Sciences·DateMar 22, 2021

Wind forecasts power up for reliable energy production

KAUST researchers developed a statistical model providing the best wind forecast yet for Saudi Arabia, aiming to increase renewable energy in the grid and reach 9 gigawatts of installed wind energy by 2030. The model uses advanced statistical approaches to jointly model wind speed and direction, showing improved prediction performance.

SourceKing Abdullah University of Science & Technology (KAUST)·JournalThe Annals of Applied Statistics·DateSep 27, 2020

Voyager 2 reaches interstellar space

Researchers confirm Voyager 2's entry into interstellar space with a plasma density jump detected by an Iowa-led instrument. The spacecraft crossed into the ISM at a distance of over 11 billion miles from the sun, providing valuable clues to the structure of the heliosphere.

SourceUniversity of Iowa·JournalNature Astronomy·DateNov 4, 2019

Where to install renewable energy in US to achieve greatest benefits

A new Harvard study identifies the Upper Midwest as ideal for wind turbines and the Great Lakes/Mid-Atlantic region for solar power to achieve maximum benefits. The research, funded by Harvard University's Climate Change Solutions Fund, provides a guide for policymakers, businesses, and utilities on where to deploy renewable energy.

SourceHarvard T.H. Chan School of Public Health·JournalEnvironmental Research Letters·DateOct 29, 2019

An innovative method for detecting defaulting participants based on sparse reconstruction

Researchers have developed a novel method to detect defaulting participants in contract-based demand response programs by leveraging sparse reconstruction. By analyzing limited data from smart meters and applying an iterative improvement technique, the proposed method enables accurate detection of failure sources with minimal inspections.

SourceJapan Science and Technology Agency·JournalIEEE Transactions on Smart Grid·DateJul 1, 2019