<｜begin▁of▁sentence｜>### Instruction:
As a Sustainability Consultant working with a city government focused on enhancing energy efficiency, you have been tasked with analyzing the city's power grid network data, which is stored in a GML file named power.gml. To support the city in optimizing its energy distribution infrastructure, you are required to utilize the graph_entropy function available in the cdlib API for community detection within the power grid network. Additionally, you are expected to convert the identified communities into a JSON format for further analysis and presentation purposes. It is essential to provide a clear and structured JSON representation of the detected communities to facilitate informed decision-making based on the network analysis results.
### Response:
import networkx as nx
from cdlib import algorithms

# Load the power grid network
G = nx.read_gml('power.gml')

# Apply the Graph Entropy-based community detection method
communities = algorithms.graph_entropy(G)

# Convert the detected communities to JSON format
communities_json = communities.to_json()

print(communities_json)
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