About AI Energy Tools
Who's Behind This Site
I spent over a decade working in energy operations before AI tools started showing up in vendor pitches. At first, I was skeptical. Most of what I saw was repackaged analytics with a chatbot bolted on. But some tools were genuinely useful, and I had no reliable way to tell which was which without spending weeks on trials and demos.
That's why I started AI Energy Tools. I wanted a place where energy professionals could get straight answers: which AI platforms actually help with load forecasting, which ones speed up grid fault analysis, and which ones are mostly marketing. I test tools against real energy workflows, not hypothetical scenarios, and I write up what I find in plain language.
Every review on this site comes from hands-on testing. If I haven't used a tool on an actual energy problem, I say so. If a tool is expensive and not worth it, I'll tell you that too.
How We Make Money
This site earns revenue through affiliate partnerships. When you click a link to a tool and sign up, we may earn a commission from the vendor. This is the standard affiliate model, and I want to be upfront about it.
Here's what that does not mean: affiliate relationships never influence our ratings, rankings, or recommendations. We test tools ourselves and report what we find. If a tool with a generous affiliate program performs poorly, it gets a poor review. If a tool with no affiliate program is the best option, we recommend it anyway.
The affiliate model lets us keep the site free to read. We don't run display ads, we don't gate content behind paywalls, and we don't charge vendors for placement.
Editorial Standards
We follow a few rules that we don't bend:
- No sponsored content without clear disclosure. If a vendor pays for a post, it will be labeled as sponsored at the top. To date, we have not published any sponsored content.
- No pay-for-play rankings. Our tool comparisons and recommendation lists are based on testing and documented criteria. Vendors cannot buy a higher ranking.
- Claims cite sources. When we reference pricing, performance data, or vendor claims, we link to the original source so you can verify it yourself.
- Reviews reflect real use. We test tools on energy-specific tasks: demand forecasting, renewable output prediction, grid stability analysis, equipment maintenance scheduling. We note the specific workflows we tested and the results we observed.
If you spot an error or think a review is out of date, let us know at [email protected]. We correct mistakes promptly and note updates at the top of revised articles.