Script output

photovoltaic_gruppe4.py

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+import os
+import sys
+
+import tensorflow as tf
+
+import pywatts.db
+from pywatts.routines import *
+
+# get rid of TF debug message
+os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
+
+if len(sys.argv) != 2:
+    print("Usage: python photovoltaic_gruppe4.py <file.json>")
+    exit(1)
+
+json_file = sys.argv[1]  # json file
+
+oneH, queries = input_queries(json_file)
+
+feature_col = [tf.feature_column.numeric_column(str(idx)) for idx in range(336)]
+n = pywatts.neural.Net(feature_cols=feature_col)
+
+predictions = []
+for query in queries:
+    if oneH:
+        predictions.extend(predict(n, query).astype('Float64').tolist())
+    else:
+        predictions.append(predict24h(n, query))
+print(predictions, file=open("test_data_gruppe4.json", "w"))