### Apache Airflow version

2.2.1 (latest released)

### Operating System

Ubuntu 20.04.3 LTS

### Versions of Apache Airflow Providers

```
apache-airflow-providers-celery==2.1.0
apache-airflow-providers-ftp==2.0.1
apache-airflow-providers-http==2.0.1
apache-airflow-providers-imap==2.0.1
apache-airflow-providers-microsoft-mssql==2.0.1
apache-airflow-providers-microsoft-winrm==2.0.1
apache-airflow-providers-openfaas==2.0.0
apache-airflow-providers-oracle==2.0.1
apache-airflow-providers-samba==3.0.0
apache-airflow-providers-sftp==2.1.1
apache-airflow-providers-sqlite==2.0.1
apache-airflow-providers-ssh==2.2.0
```

### Deployment

Virtualenv installation

### Deployment details

Airflow 2.2.1 on a LXD Container "all in one" (web, scheduler, database == postgres)

### What happened

I don't know if it is related to the change of the time we had in Italy from 03:00 to 02:00 happened on October 30th.

The result is that during the same day the scheduler has been compromised.

The output of the commad `airflow scheduler` is:

```
root@new-airflow:~/airflow# airflow scheduler
  ____________       _____________
 ____    |__( )_________  __/__  /________      __
____  /| |_  /__  ___/_  /_ __  /_  __ \_ | /| / /
___  ___ |  / _  /   _  __/ _  / / /_/ /_ |/ |/ /
 _/_/  |_/_/  /_/    /_/    /_/  \____/____/|__/
[2021-11-01 02:00:41,181] {scheduler_job.py:596} INFO - Starting the scheduler
[2021-11-01 02:00:41,181] {scheduler_job.py:601} INFO - Processing each file at most -1 times
[2021-11-01 02:00:41,267] {manager.py:163} INFO - Launched DagFileProcessorManager with pid: 12284
[2021-11-01 02:00:41,268] {scheduler_job.py:1115} INFO - Resetting orphaned tasks for active dag runs
[2021-11-01 02:00:41,269] {settings.py:52} INFO - Configured default timezone Timezone('UTC')
[2021-11-01 02:00:41,332] {celery_executor.py:493} INFO - Adopted the following 7 tasks from a dead executor
	<TaskInstance: EXEC_SAVE_ORACLE_SOURCE.PSOFA_PSO_PKG_UTILITY_SP_SAVE_ORACLE_SOURCE scheduled__2021-10-30T17:30:00+00:00 [running]> in state STARTED
	<TaskInstance: EXEC_MAIL_VENDUTO_LIMASTE-BALLETTA.PSO_SP_DATI_BB_V4 scheduled__2021-10-30T19:00:00+00:00 [running]> in state STARTED
	<TaskInstance: EXEC_MAIL_TASSO_CONV.PSO_SP_DATI_BB_V6 scheduled__2021-10-30T20:35:00+00:00 [running]> in state STARTED
	<TaskInstance: EXEC_MAIL_VENDUTO_UNICA_AM.PSO_SP_DATI_BB_V6 scheduled__2021-10-30T19:20:00+00:00 [running]> in state STARTED
	<TaskInstance: EXEC_BI_ASYNC.bi_pkg_batch_carica_async_2 scheduled__2021-10-30T23:00:00+00:00 [running]> in state STARTED
	<TaskInstance: EXEC_MAIL_INGRESSI_UNICA.PSO_SP_INGRESSI_BB_V4 scheduled__2021-10-30T20:15:00+00:00 [running]> in state STARTED
	<TaskInstance: API_REFRESH_PSO_ANALISI_CONS_ORDINE_EXCEL.Refresh_Table scheduled__2021-10-31T07:29:00+00:00 [running]> in state STARTED
[2021-11-01 02:00:41,440] {dagrun.py:511} INFO - Marking run <DagRun EXEC_CALCOLO_FILTRO_RR_INCREMENTALE @ 2021-10-30 18:00:00+00:00: scheduled__2021-10-30T18:00:00+00:00, externally triggered: False> successful
[2021-11-01 02:00:41,441] {dagrun.py:556} INFO - DagRun Finished: dag_id=EXEC_CALCOLO_FILTRO_RR_INCREMENTALE, execution_date=2021-10-30 18:00:00+00:00, run_id=scheduled__2021-10-30T18:00:00+00:00, run_start_date=2021-10-31 09:00:00.440704+00:00, run_end_date=2021-11-01 01:00:41.441139+00:00, run_duration=57641.000435, state=success, external_trigger=False, run_type=scheduled, data_interval_start=2021-10-30 18:00:00+00:00, data_interval_end=2021-10-31 09:00:00+00:00, dag_hash=91db1a3fa29d7dba470ee53feddb124b
[2021-11-01 02:00:41,444] {scheduler_job.py:644} ERROR - Exception when executing SchedulerJob._run_scheduler_loop
Traceback (most recent call last):
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 628, in _execute
    self._run_scheduler_loop()
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 709, in _run_scheduler_loop
    num_queued_tis = self._do_scheduling(session)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 792, in _do_scheduling
    callback_to_run = self._schedule_dag_run(dag_run, session)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 1044, in _schedule_dag_run
    self._update_dag_next_dagruns(dag, dag_model, active_runs)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 935, in _update_dag_next_dagruns
    data_interval = dag.get_next_data_interval(dag_model)
  File "/usr/local/lib/python3.8/dist-packages/airflow/models/dag.py", line 629, in get_next_data_interval
    return self.infer_automated_data_interval(dag_model.next_dagrun)
  File "/usr/local/lib/python3.8/dist-packages/airflow/models/dag.py", line 667, in infer_automated_data_interval
    end = cast(CronDataIntervalTimetable, self.timetable)._get_next(start)
  File "/usr/local/lib/python3.8/dist-packages/airflow/timetables/interval.py", line 171, in _get_next
    naive = make_naive(current, self._timezone)
  File "/usr/local/lib/python3.8/dist-packages/airflow/utils/timezone.py", line 143, in make_naive
    if is_naive(value):
  File "/usr/local/lib/python3.8/dist-packages/airflow/utils/timezone.py", line 50, in is_naive
    return value.utcoffset() is None
AttributeError: 'NoneType' object has no attribute 'utcoffset'
[2021-11-01 02:00:42,459] {process_utils.py:100} INFO - Sending Signals.SIGTERM to GPID 12284
[2021-11-01 02:00:42,753] {process_utils.py:212} INFO - Waiting up to 5 seconds for processes to exit...
[2021-11-01 02:00:42,792] {process_utils.py:66} INFO - Process psutil.Process(pid=12342, status='terminated', started='02:00:41') (12342) terminated with exit code None
[2021-11-01 02:00:42,792] {process_utils.py:66} INFO - Process psutil.Process(pid=12284, status='terminated', exitcode=0, started='02:00:40') (12284) terminated with exit code 0
[2021-11-01 02:00:42,792] {process_utils.py:66} INFO - Process psutil.Process(pid=12317, status='terminated', started='02:00:41') (12317) terminated with exit code None
[2021-11-01 02:00:42,792] {scheduler_job.py:655} INFO - Exited execute loop
Traceback (most recent call last):
  File "/usr/local/bin/airflow", line 8, in <module>
    sys.exit(main())
  File "/usr/local/lib/python3.8/dist-packages/airflow/__main__.py", line 48, in main
    args.func(args)
  File "/usr/local/lib/python3.8/dist-packages/airflow/cli/cli_parser.py", line 48, in command
    return func(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/airflow/utils/cli.py", line 92, in wrapper
    return f(*args, **kwargs)
  File "/usr/local/lib/python3.8/dist-packages/airflow/cli/commands/scheduler_command.py", line 75, in scheduler
    _run_scheduler_job(args=args)
  File "/usr/local/lib/python3.8/dist-packages/airflow/cli/commands/scheduler_command.py", line 46, in _run_scheduler_job
    job.run()
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/base_job.py", line 245, in run
    self._execute()
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 628, in _execute
    self._run_scheduler_loop()
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 709, in _run_scheduler_loop
    num_queued_tis = self._do_scheduling(session)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 792, in _do_scheduling
    callback_to_run = self._schedule_dag_run(dag_run, session)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 1044, in _schedule_dag_run
    self._update_dag_next_dagruns(dag, dag_model, active_runs)
  File "/usr/local/lib/python3.8/dist-packages/airflow/jobs/scheduler_job.py", line 935, in _update_dag_next_dagruns
    data_interval = dag.get_next_data_interval(dag_model)
  File "/usr/local/lib/python3.8/dist-packages/airflow/models/dag.py", line 629, in get_next_data_interval
    return self.infer_automated_data_interval(dag_model.next_dagrun)
  File "/usr/local/lib/python3.8/dist-packages/airflow/models/dag.py", line 667, in infer_automated_data_interval
    end = cast(CronDataIntervalTimetable, self.timetable)._get_next(start)
  File "/usr/local/lib/python3.8/dist-packages/airflow/timetables/interval.py", line 171, in _get_next
    naive = make_naive(current, self._timezone)
  File "/usr/local/lib/python3.8/dist-packages/airflow/utils/timezone.py", line 143, in make_naive
    if is_naive(value):
  File "/usr/local/lib/python3.8/dist-packages/airflow/utils/timezone.py", line 50, in is_naive
    return value.utcoffset() is None
AttributeError: 'NoneType' object has no attribute 'utcoffset'
```
There was non way to have Airflow started !!

I restored the backup of the day before in order to have Airflow up and running again.

Now it works, but at the startup Airflow launched all the jobs he thinks were non executed, causing some problems on the database due to these unusual load.

Is there a way to avoid this behaviour at the startup ?

### What you expected to happen

_No response_

### How to reproduce

_No response_

### Anything else

_No response_

### Are you willing to submit PR?

- [ ] Yes I am willing to submit a PR!

### Code of Conduct

- [X] I agree to follow this project's [Code of Conduct](https://github.com/apache/airflow/blob/main/CODE_OF_CONDUCT.md)

tests/models/test_dag.py
local_tz = pendulum.timezone('Europe/Zurich')
        default_args = {'start_date': datetime.datetime(2018, 1, 1, tzinfo=local_tz)}
        dag = DAG('DAG', default_args=default_args)
        assert dag.timezone.name == local_tz.name
        dag = DAG('DAG', default_args=default_args)
        assert dag.timezone.name == local_tz.name
    def test_roots(self):
        """Verify if dag.roots returns the root tasks of a DAG."""
        with DAG("test_dag", start_date=DEFAULT_DATE) as dag:
            op1 = DummyOperator(task_id="t1")
            op2 = DummyOperator(task_id="t2")
            op3 = DummyOperator(task_id="t3")
            op4 = DummyOperator(task_id="t4")
            op5 = DummyOperator(task_id="t5")
            [op1, op2] >> op3 >> [op4, op5]
            assert set(dag.roots) == {op1, op2}
    def test_leaves(self):