EMD-API - Wind Energy Index Service

Comissioning of On-Shore Wind Turbines in Denmark.

Introduction

The wind-energy-index service is available as a global service - providing reliable wind-index information for any part of the world. The service is available from a REST / OPENAPI interface. This page describes how to install the service - and how to consume it from a python client. Resources for the OpenAPI standard and the data model are here:

• OpenAPI-standard - at Swagger / Smartbear
• OpenAPI Specification and Data Model - at GitHub.

Please note:

• This EMD-API introduction is aimed at programmers, modellers or analysts who are working with machine-driven interfaces and workflows, typically using programming languages like python or R.
• Also note, that we provide a python (jupyter notebook) example to get you kick-started in using our API-services and to integrate towards your own services and tools.

Get Help, Get Access or See Operational Status

• Access: Contact the emd-sales department to obtain access: sales@emd.dk.
• Help (1): Contact the EMD support hotline: support@emd.dk.
• Help (2): Contact our technical specialist, Senior Consultant (Wind) Henrik S. Pedersen: hsp@emd.dk.
• Operational Status - at separate Operational Status wiki-page

Python - Installation

The simplest way to use the EMDAPI with python is to install the client software in a virtual environment. If you are using CONDA or MINICONDA, we recommend that you create a new virtual environment and use a recent 3.x version of python. When the virtual environment is created, then activate the environment.

Open your Anaconda Prompt. Copy-paste the following lines:

conda create -n emdapiwindindex python=3.8.5
conda activate emdapiwindindex

Install the required packages needed in order to do data-science and use the examples provided within the jupyter notebooks. We have have validated this setup using specific package versions (used in the commands below).

In the Anaconda Prompt, copy-paste the following lines, one by one:

conda install -c conda-forge pandas=1.1.0 numpy=1.19.1
conda install -c conda-forge jupyter=1.0.0 ipykernel=5.3.4 

Download the zip-file holding the OpenAPI python client for the emdapi wind-index-service.
Unpack the file and install it within your virtual environment:

In the Anaconda Prompt: Move to the folder, where you have unpacked the zipped file. Copy-paste the following line:

python setup.py install

Make sure that the new emdapi virtual enviroment (python-kernel) is available to be used with jupyter-notebook environment:

python -m ipykernel install --user --name=emdapiwindindex