diff --git a/test/integration/remote/test_remote_composer.py b/test/integration/remote/test_remote_composer.py
index d065d786c2..15e51004c0 100644
--- a/test/integration/remote/test_remote_composer.py
+++ b/test/integration/remote/test_remote_composer.py
@@ -1,8 +1,10 @@
+import os
 import shutil
 
 import pytest
 
 from fedot.api.main import Fedot
+from fedot.core.repository.tasks import TsForecastingParams
 from fedot.core.utils import fedot_project_root
 from fedot.remote.infrastructure.clients.test_client import TestClient
 from fedot.remote.remote_evaluator import RemoteEvaluator, RemoteTaskParams
@@ -60,47 +62,46 @@ def test_pseudo_remote_composer_classification():
 
     assert predict is not None
 
-# TODO: "No models were found" error as for 22.09.2023 appears. Fix it.
-# import os
-# from fedot.core.repository.tasks import TsForecastingParams
-# def test_pseudo_remote_composer_ts_forecasting():
-#     connect_params = {}
-#     exec_params = {
-#         'container_input_path': os.path.join(fedot_project_root(), 'test', 'data'),
-#         'container_output_path': os.path.join(fedot_project_root(), 'test', 'data', 'remote'),
-#         'container_config_path': os.path.join(fedot_project_root(), 'test', 'data', '.'),
-#         'container_image': "test",
-#         'timeout': 1
-#     }
-#
-#     remote_task_params = RemoteTaskParams(
-#         mode='remote',
-#         dataset_name='short_time_series')
-#
-#     client = TestClient(connect_params, exec_params,
-#                         output_path=os.path.join(fedot_project_root(), 'test', 'data', 'remote'))
-#
-#     evaluator = RemoteEvaluator()
-#
-#     evaluator.init(
-#         client=client,
-#         remote_task_params=remote_task_params
-#     )
-#
-#     composer_params = {
-#         'pop_size': 10,
-#         'cv_folds': None,
-#         'with_tuning': False,
-#         'show_progress': False
-#     }
-#
-#     preset = 'best_quality'
-#     automl = Fedot(problem='ts_forecasting', timeout=0.2, task_params=TsForecastingParams(forecast_length=1),
-#                    preset=preset, **composer_params)
-#
-#     path = os.path.join(fedot_project_root(), 'test', 'data', 'short_time_series.csv')
-#
-#     automl.fit(path, target='sea_height')
-#     predict = automl.predict(path)
-#     shutil.rmtree(os.path.join(fedot_project_root(), 'test', 'data', 'remote', 'fitted_pipeline'))# recursive deleting
-#     assert predict is not None
+
+@pytest.mark.skip(reason="No models were found error as for 22.09.2023 appears.Fix it.")
+def test_pseudo_remote_composer_ts_forecasting():
+    connect_params = {}
+    exec_params = {
+        'container_input_path': os.path.join(fedot_project_root(), 'test', 'data'),
+        'container_output_path': os.path.join(fedot_project_root(), 'test', 'data', 'remote'),
+        'container_config_path': os.path.join(fedot_project_root(), 'test', 'data', '.'),
+        'container_image': "test",
+        'timeout': 1
+    }
+
+    remote_task_params = RemoteTaskParams(
+        mode='remote',
+        dataset_name='short_time_series')
+
+    client = TestClient(connect_params, exec_params,
+                        output_path=os.path.join(fedot_project_root(), 'test', 'data', 'remote'))
+
+    evaluator = RemoteEvaluator()
+
+    evaluator.init(
+        client=client,
+        remote_task_params=remote_task_params
+    )
+
+    composer_params = {
+        'pop_size': 10,
+        'cv_folds': None,
+        'with_tuning': False,
+        'show_progress': False
+    }
+
+    preset = 'best_quality'
+    automl = Fedot(problem='ts_forecasting', timeout=0.2, task_params=TsForecastingParams(forecast_length=1),
+                   preset=preset, **composer_params)
+
+    path = os.path.join(fedot_project_root(), 'test', 'data', 'short_time_series.csv')
+
+    automl.fit(path, target='sea_height')
+    predict = automl.predict(path)
+    shutil.rmtree(os.path.join(fedot_project_root(), 'test', 'data', 'remote', 'fitted_pipeline'))  # recursive deleting
+    assert predict is not None