A new machine learning (ML) model from Georgia Tech could protect communities from diseases, better manage electricity consumption in cities, and promote business growth, all at the same time.

The energy industry evolution provides opportunities for businesses to engage in a highly digitized and integrated environment and gain revenue from new value streams and business models.

Opower’s bar-graph-and-smiley-face innovation, which costs virtually nil to implement across the entire customer base, has been bringing down overall energy use by as much as 3 percent on ...

Today’s Graph of the Day come from our friends at Cleantechnica. Throughout history, there have been times when the introduction of technology met the needs of the public and a fundamental shift ...

General diagram of the proposed techno-economic dispatch model. Image: University of Zaragoza, Journal of Energy Storage, Creative Commons License CC BY 4.0 ...

Some Energy Charts That Weren’t Included in “The Most Important Economic Stories of 2013 – in 40 Graphs,” but Maybe Should Be? By Mark J. Perry. AEIdeas ...

UMass Lowell’s Rist Institute for Sustainability and Energy is well-connected with community policy and economic development, and our center faculty work alongside the Climate Change Initiative.

Graph neural networks (GNNs) are powerful artificial intelligence (AI) models designed for analyzing complex, unstructured graph data. In such data, entities are represented as nodes and ...

New AI model could make power grids more reliable amid rising renewable energy use. ScienceDaily . Retrieved June 11, 2025 from www.sciencedaily.com / releases / 2024 / 10 / 241024173704.htm ...

I based the models on historical data about the energy mix and governance scores. The analysis focused on the share of renewable energy in South Africa’s total final energy consumption.