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.

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 ...

As I was preparing this post of energy charts, I noticed that Matthew O’Brien at The Atlantic just published The Most Important Economic Stories of 2013—in 40 Graphs and guess what? Not one of ...

Today’s best lithium-ion batteries have only a fraction of the energy density of hydrocarbons from oil and gas.

Multi-Fidelity Graph Neural Networks: A New AI Solution The new model is based on multi-fidelity graph neural networks (GNNs), a type of AI designed to improve power flow analysis -- the process ...

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 ...

The South African government has not invested enough for renewable energy to contribute to long-term economic growth.

Current economic models tend to underestimate seriously both the potential impacts of dangerous climate change and the wider benefits of a transition to low-carbon growth.

A research team in Spain has developed an hourly mathematical model that reportedly allows for the optimal management of grid-connected renewable generation facilities and pumped hydro-energy ...