We have a large, long-term project to help develop software to optimize heat and energy use in large commercial buildings.
The problem statement is fairly straightforward: optimize energy use for heating/cooling in a large building while satisfying a set of temperature range requirements. The available controls are the amount of heating/cooling introduced, and the available data inputs are temperature sensors inside and outside of the building, building usage and outside weather.
We are looking for an engineer with relevant machine learning experience. We will split the problem into two pieces and first focus on estimating energy usage given the inputs. Then we will look at optimizing the controls. Data and dev ops engineers will create the necessary framework so that the ML engineer can focus on that job.
This is not a simple, one-time job. We hope that this project will continue to grow and that we can develop a team around it.
33 фрілансерів(-и) у середньому готові виконати цю роботу за $774
Hello! I'd like to deliver smart house solution. I'm familiar with environment contorl, time/space forecasting, python. I'll do the job fairly good. Please, give me a try!
Relevant energy/water meter experience and use of ML. Currently working with agency involved in similar energy rating facilities and worked with PPL (New York) in an energy sector. Thanks Jag
Hello, I have a lot of experience with optimization and a bit of machine learning. I can help on both fronts. Will be happy to discuss further