Using Machine Learning to Improve How Energy Gets to Market
By collecting data and utilizing machine learning, the midstream oil and gas industry is improving operational efficiency.
By collecting data and utilizing machine learning, the midstream oil and gas industry is improving operational efficiency.
Pinnacle Foods reaches 85% of American households. But its brands’ raw materials – agricultural products – are at risk due to climate change. What is the company doing to address this existential threat?
Carnival Corporation, a major player in the cruise industry, has responded to critics in a meaningful way by redesigning operations to minimize impact on the environment.
Exelon is one of the largest energy utilities in the world and operates more nuclear power plants than any other company in the US, but its electrical transmission equipment, natural gas and nuclear plants are aging rapidly. How can Exelon's extremely costly and complex, yet vital, infrastructure be brought successfully into the digital age?
AEP Generation Resources operates 60 electricity generation stations across 11 states with total capacity of 31,000 MW. Based on capacity, AEP is the second largest US electricity generator but leads its competitors in CO2 emissions. What can AEP do to remain competitive and reduce its CO2 emissions?
Evolving trend of energy sources and challenge in transforming power generation business for an incumbent player
China is restructuring its energy mix due to increasingly bad air quality. Will PetroChina be able to deliver?
The Russian state-owned energy company is positioned to respond to global efforts to address climate change.
Under David Crane, NRG Energy became the U.S.'s largest Independent Power Producer and a Fortune 200 company. It also became one of the largest renewable power generators in the country. But why haven't any of us heard about NRG? What can leaders – investors, operators, and regulators – learn from their story?
One person's trash is another person's treasure…