Add plots of 10 first predictions in evalution

[peterdudfield]

Add plots to evaluation script and look at the results between the truth and forecasts

Might be worth seeing the difference that #112 makes

[peterdudfield]

Something like this, but would be good to get each forecast on its own plot

import pandas as pd
import plotly.graph_objects as go

df = pd.read_csv('results.csv')
df.set_index('timestamp',inplace=True)

# sort by timestamp
df.sort_index(inplace=True)

traces = []
traces.append(go.Scatter(x=df.index, y=df['forecast_power'],name='forecast'))
traces.append(go.Scatter(x=df.index, y=df['generation_power'], name='generation'))
fig = go.Figure(data=traces)

fig.show(renderer='browser')