Add aioelectricitymaps (#853)

Asynchronous Python client for Electricity Maps, a live 24/7 visualization of where your electricity comes from and how much CO2 was emitted to produce it. https://github.com/jpbede/aioelectricitymaps

README.md

@@ -870,6 +870,7 @@ energy system designs and analysis of interactions between technologies.
 - [ec0lint](https://github.com/ec0lint/ec0lint) - A static code analysis tool that provides users with hints on how to reduce the carbon footprint of their websites during the development process.
 - [Kubernetes Carbon Intensity Exporter](https://github.com/Azure/kubernetes-carbon-intensity-exporter) - Provides a data exporter by which Kubernetes operators can leverage the carbon intensity data from 3rd party for carbon-aware workload scheduling.
 - [Electricity Maps](https://github.com/tmrowco/electricitymap-contrib) - A real-time visualization of the CO2 emissions from electricity consumption.
+- [aioelectricitymaps](https://github.com/jpbede/aioelectricitymaps) - Asynchronous Python client for Electricity Maps.
 - [Open Grid Emissions Initiative](https://github.com/singularity-energy/open-grid-emissions) - Seeks to fill a critical need for high-quality, publicly-accessible, hourly grid emissions data that can be used for GHG accounting, policymaking, academic research, and energy attribute certificate markets.
 - [gridemissions](https://github.com/jdechalendar/gridemissions) - Displays the hourly carbon footprint of the US electricity system.
 - [pyELQ](https://github.com/sede-open/pyELQ) - Detect, localize, and quantify methane emissions from concentration and wind measurements.