US solar installer adapts business model as policy support shifts
- Bias Rating
- Reliability
45% ReliableAverage
- Policy Leaning
-46% Medium Left
- Politician Portrayal
N/A
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Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
45% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
59% : ReVision Energy leverages a relationship-driven model and workforce innovation to navigate evolving clean energy policies and sustain long-term growth across the northeastern United States.58% : He said they've also seen an uptick in urgency for commercial installations because the commercial tax credit expires in two years.
56% : " Policy changes over the years have also created an ebb and flow in demand, as evidenced now with the residential tax credit about to end.
55% : " Workforce development Clean energy jobs grew three times faster than the broader job market in 2024, according to the tenth annual Clean Jobs America report run by E2, adding almost 100,000 jobs last year.
52% : Solar installers face headwinds caused by the expiration of tax credits, safe harbor requirements and uncertainty about the requirements around materials from foreign entities of concern (FEOC).
50% : Mueller said that like the rest of the industry, they're "running like crazy trying to meet our obligations to residential customers looking to take advantage of the tax credit."
46% : For example, the loss of the investment tax credit will have little to no effect on customer investment because modeling electricity prices into the future, Mueller said, shows that projects will pencil out more favorably in the future, even without the tax credit.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.