NREL researchers have determined that without accurate data on zoning ordinances renewable project impact potentially runs the risk of being vastly overstated. The report is specifically referring to the role of setback ordinances. The key is to get proposals past the zoning boards that look at the state and local zoning laws and ordinances when making the final decision – which can vary widely depending on the region.
Empact Technologies, a clean energy tax incentive management software and services company, released their new platform meant to help developers effectively leverage the IRA clean energy incentives to secure project construction financing, while also ensuring regulatory compliance. It combines SaaS tech with pro services so projects meet IRS regulatory requirements for prevailing wage and apprenticeship, domestic content and energy, and low-income community incentives.
Given that resi inverters perform more complicated interactions with the grid, batteries, and other components of smart home tech, install training has become more advanced. SPW looks at how manufacturers, installers, and others are trying to streamline the training process. They discuss virtual and in-class trainings plus resources from orgs like NABCEP.
RMI experts are stating that the recent FERC ruling to speed up interconnection won’t be particularly effective in many regions because they are already using the cluster study approach and need something that looks beyond it. They say it will not meet the demands of the backlog in the queue. The real problem is the fact that the US transmission system has little spare capacity and was built without consideration for planned generation and storage.
Wood Mackenzie and the Coalition for Community Solar Access made strong predictions about community solar growth. They’re expecting the model to reach 6 GW this year and experience an “upward trajectory” in 2024 to reach nearly 14 GW of cumulative capacity by 2028.
In this video series Jon Bonnano and Kerim Baran interview MIT professor and Climate Change AI (CCAI) co-founder PriyavDonti regarding generative AI and machine learning. In this third of the ten-part series (and second portion of the 3 part series) they demystify the three major paradigms of machine learning: supervised, unsupervised, and reinforcement learning. The video is below.
In this new video series Bonnano and Kerim Baran interview MIT professor and Climate Change AI (CCAI) co-founder PriyavDonti regarding generative AI and machine learning. In this fourth of the ten-part series (and second portion of the 3 part series) Priya discusses the concept of unsupervised learning, which focuses on finding structure in unlabeled data sets. The video is below.