生成节能建议

def solve():
    from pyodide.http import open_url
    from io import StringIO
    import pandas as pd
    energy_csv = open_url(____).read()
    devices_csv = open_url(____).read()
    energy = pd.read_csv(StringIO(____))
    devices = pd.read_csv(StringIO(____))
    device_energy = energy.groupby(____)['____'].sum()
    devices['____'] = devices['____'].map(____)
    avg_kwh = devices['____'].mean()
    high = devices[devices['____'] > avg_kwh * ____]
    print(____)
    for _, r in high.iterrows():
        print(____)