Barely a month after his inauguration, President Trump is proceeding with plans to dismantle protections under the Clean Air Act and Clean Water Act. The targets include limiting pollution into streams and wetlands that flow into drinking water for a hundred million Americans, automobile fuel economy standards that cut tailpipe pollution, and performance standards under the Clean Power Plan that would boost renewable power and fight climate change. Trump and his EPA Administrator, Scott Pruitt, have drawn up reckless plans to slash EPA’s budget—greeted with derision even by some Republicans in Congress. With the tragic story of Flint still fresh in people’s minds, the President is betraying the demands of his own supporters — fully 64% of Trump voters want to maintain or increase spending on environmental protection.
These actions are a tragic wrong turn for the country — and not just because they threaten to roll back decades of progress on air and water pollution, and the recent steps forward on climate change.
What I especially worry about are the lost opportunities for economic growth, new jobs, and the competitiveness of American companies — at a time when China and others are stepping up.
How do we compensate those who add clean electricity to our shared power grid? This fundamental question has affected the rate at which the U.S. has adopted, deployed, and put into use clean, distributed energy resources such as energy efficiency, batteries, electric vehicles, and rooftop and community solar.
“If you want to know how wind works for America, just ask a Texan.” That’s 
The U.S. electric grid is old and frayed, yet innovative technologies – modern sensors, smart meters, and advanced telecommunications – offer hope to update it to become more modern, efficient, and clean. What all these smart-grid tools have in common is data. How we utilize the enormous quantities of information about how we move and use electricity will have major impacts on markets, customers, the environment, and our future electricity system.