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Mostly machine learning for distributed sensor networks (ie: smart meters). Deal with lots of time-series data, state space modelling, some recurrent neural net
by cfcf14 7y ago
Mostly machine learning for distributed sensor networks (ie: smart meters). Deal with lots of time-series data, state space modelling, some recurrent neural nets (etc). Our shop has a 'golang only' thing going, which means that I end up having to reimplement algorithms in go sometimes from scratch.
- playing_colours 7y agonice area, I would be interested to learn more into this type of problems. Recently, I became for interested in power electronics / smart grids / energy, and looking for the ways to get in touch with people working on such problems, learn more and join any company on these domains.
- new4thaccount 7y agoIt depends on what you want to do as this industry is HUGE. Do you care about metering and working at the solar panel or wind farm level? Or maybe on the actual energy markets that commit and dispatch all generation in a region? Or maybe the vendors that write the software for those markets? Or you could work for the utilities or IPPs that own the generators...or the state public service commission that control state plans. There is also FERC and NERC. There are companies that sell energy storage systems...the list goes on and on.
- new4thaccount 7y agoI saw on the Adacore website a success story for another company that sells smart metering products, so it is nice to see all the work in this space. There are plenty of major vendors as well with smart meter products and the accompanying software. What company do you work for by the way if you can say?