Objective is to deploy ML algorithm that is able to predict the energy production in the microgrid allowing the microgrid for economic benefits. The meteorological conditions is one factor that determines the renewable energy generation.
The proposed model must be able to provide priority to particular renewable energy source favorable at the certain time step for maximum energy production in the grid.
PS. You need to identify a suitable data set for this problem, build a base hypotheses with the data and the attempt the model.
Please find the attachment of wind dateset and two paper
Paper 1 = [login to view URL]
Paper 2 = [login to view URL]
Windmill Dataset (This is not the data on which model is required) - [login to view URL]
Context of Dataset
In Wind Turbines, Scada Systems measure and save data's like wind speed, wind direction, generated power etc. for 10 minutes intervals. This file was taken from a wind turbine's scada system that is working and generating power in Turkey.
The data's in the file are:
Date/Time (for 10 minutes intervals)
LV ActivePower (kW): The power generated by the turbine for that moment
Wind Speed (m/s): The wind speed at the hub height of the turbine (the wind speed that turbine use for electricity generation)
TheoreticalPowerCurve (KWh): The theoretical power values that the turbine generates with that wind speed which is given by the turbine manufacturer
Wind Direction (°): The wind direction at the hub height of the turbine (wind turbines turn to this direction automaticly)
14 freelancers are bidding on average ₹9727 for this job
Hi, i can train ML model to predict future energy production. If you have past dataset, please share with me, i will help you to complete this task. Looking forward to work with you. Thank you.
I m working in electricity department from past 9.5 years. So can be done this project. Relevant Skills and Experience Ml, electricity generation, data collection