diff --git a/.gitlab-ci.yml b/.gitlab-ci.yml
index f3692c61079f38c2f3cfde9b41effaf8ec904405..81a59133968e8fd307e5a4fbaeea42a4ff14c57f 100644
--- a/.gitlab-ci.yml
+++ b/.gitlab-ci.yml
@@ -10,7 +10,16 @@ build:
     - apt-get update
     ## Downloading requirements
     - apt-get -y install python3-pip
-    ## Building
+    - apt-get -y install g++
+    ## Building dependencies: querytre
+    - git clone https://github.com/nachorequeno/querytre.git
+    - cd querytre
+    - git checkout jose
+    - pip install -r requirements.txt
+    - pip install .
+    - python3 setup.py bdist_wheel --universal
+    - cd ..
+    ## Building ParetoLib
     - python3 setup.py bdist_wheel --universal
     - python3 setup.py bdist_egg
   artifacts:
@@ -18,6 +27,7 @@ build:
     paths:
       - dist/*whl
       - dist/*egg
+      - querytre/dist/*whl
 
 test:
   stage: test
@@ -41,8 +51,11 @@ test:
     - pip3 install coverage
     - pip3 install pytest
     - pip3 install pytest-timeout
-    ## Installing
-    - cd dist/
+    ## Installing querytre
+    - cd querytre/dist
+    - pip3 install *.whl --user
+    ## Installing ParetoLib
+    - cd ../../dist/
     - pip3 install *.whl --user
     ## Testing and Coverage
     # - pytest --ignore=Tests/test_Search.py --ignore=Tests/test_Oracle_OracleMatlab.py
diff --git a/ParetoLib/Oracle/OracleTRE.py b/ParetoLib/Oracle/OracleTRE.py
new file mode 100644
index 0000000000000000000000000000000000000000..f77ec4401ec4f3a783c7c82d4d9c2919a4a3f06a
--- /dev/null
+++ b/ParetoLib/Oracle/OracleTRE.py
@@ -0,0 +1,74 @@
+import pandas as pd
+from querytre.query import eval, num_false_negatives_bound
+
+from ParetoLib.Oracle.Oracle import Oracle
+
+
+class OracleTRE(Oracle):
+    """
+    A class for querying Timed Regular Expressions (TRE).
+    """
+
+    def __init__(self, precision: float, df: pd.DataFrame, template_for: str, labels: list, fn_bound: int, tpreds: dict,
+                 mpreds: dict, dtype="int"):
+
+        Oracle.__init__(self)
+
+        # This is required because the parser for TRE doesn't allow
+        # rational bounds on durations.
+        self.precision = precision
+        # This is a panda dataframe containing the signal.
+        self.df = df
+        # This is a string containing the template TRE.
+        self.template_formula = template_for
+        # This is a list of positive examples which the formula should match.
+        self.labels = labels
+        # Data type of the time magnitude in the time series ("int", "float")
+        self.dtype = dtype
+        # This is the allowed bound on the number of false negatives.
+        self.fn_bound = fn_bound
+        # This is a list of predicates for timing.
+        self.time_preds = tpreds
+        # This is a list of predicates for magnitude.
+        self.mag_preds = mpreds
+
+    def evaluate(self, point):
+        # if point is None, then we compute the list of zero zones.
+        # else, evaluate if point belongs to some of the zero zones.
+        query_formula = self.template_formula
+
+        # Replace time parameters in the TRE template
+        scale = 1 / self.precision
+        for key in self.time_preds:
+            query_formula = query_formula.replace(key, str(int(scale * self.time_preds[key](point))))
+
+        # Replace magnitude parameters in the TRE template
+        query_preds = {}
+        for key in self.mag_preds:
+            query_preds[key] = self.mag_preds[key](point)
+
+        matchset = eval(self.df, query_formula, timescale=self.precision, dtype=self.dtype, **query_preds)
+
+        return matchset
+
+    def member(self, point):
+        query_formula = self.template_formula
+
+        # Replace time parameters in the TRE template
+        scale = 1 / self.precision
+        for key in self.time_preds:
+            query_formula = query_formula.replace(key, str(int(scale * self.time_preds[key](point))))
+
+        # Replace magnitude parameters in the TRE template
+        query_preds = {}
+        for key in self.mag_preds:
+            query_preds[key] = self.mag_preds[key](point)
+
+        res = num_false_negatives_bound(self.df, query_formula, self.labels, self.fn_bound, timescale=self.precision,
+                                        dtype="float", **query_preds)
+        return res
+
+    # TODO: temporary. change later
+
+    def dim(self):
+        return 2
diff --git a/ParetoLib/Oracle/OracleTestTRE.py b/ParetoLib/Oracle/OracleTestTRE.py
new file mode 100644
index 0000000000000000000000000000000000000000..9492022f46e92fe8c223d3b948d9fdf8774c18f4
--- /dev/null
+++ b/ParetoLib/Oracle/OracleTestTRE.py
@@ -0,0 +1,50 @@
+import pandas as pd
+from querytre.query import num_false_negatives_bound
+
+from ParetoLib.Oracle.Oracle import Oracle
+
+
+class OracleTestTRE(Oracle):
+    """
+    A class for querying Timed Regular Expressions (TRE).
+    """
+
+    def __init__(self, num_dim: int, precision: float, df: pd.DataFrame, template_for: str, labels: list, fn_bound: int,
+                 tpreds: dict, mpreds: dict):
+
+        Oracle.__init__(self)
+
+        # Number of dimensions
+        self.num_dim = num_dim
+        # This is required because the parser for TRE doesn't allow
+        # rational bounds on durations.
+        self.precision = precision
+        # This is a panda dataframe containing the signal.
+        self.df = df
+        # This is a string containing the template TRE.
+        self.template_formula = template_for
+        # This is a list of positive examples which the formula should match.
+        self.labels = labels
+        # This is the allowed bound on the number of false negatives.
+        self.fn_bound = fn_bound
+        # This is a list of predicates for timing.
+        self.time_preds = tpreds
+        # This is a list of predicates for magnitude.
+        self.mag_preds = mpreds
+
+    def member(self, point):
+        prec = self.precision
+        query_formula = self.template_formula
+        for key in self.time_preds:
+            query_formula = query_formula.replace(key, str(int((1 / prec) * self.time_preds[key](point))))
+        query_preds = {}
+        for key in self.mag_preds:
+            query_preds[key] = self.mag_preds[key](point)
+        res = num_false_negatives_bound(self.df, query_formula, self.labels, self.fn_bound, timescale=prec,
+                                        dtype="float", **query_preds)
+        return res
+
+    # TODO: temporary. change later
+
+    def dim(self):
+        return self.num_dim
diff --git a/ParetoLib/Oracle/OraclefnTRE.py b/ParetoLib/Oracle/OraclefnTRE.py
new file mode 100644
index 0000000000000000000000000000000000000000..7a285fb7d10d4679e0e4f3fb7471b84af48d8f1b
--- /dev/null
+++ b/ParetoLib/Oracle/OraclefnTRE.py
@@ -0,0 +1,46 @@
+import pandas as pd
+from querytre.query import num_false_negatives_bound
+
+from ParetoLib.Oracle.Oracle import Oracle
+
+
+class OraclefnTRE(Oracle):
+    """
+    A class for querying Timed Regular Expressions (TRE) with bound on false negatives as the first parameter.
+    """
+
+    def __init__(self, precision: float, df: pd.DataFrame, template_for: str, labels: list, tpreds: dict, mpreds: dict):
+
+        Oracle.__init__(self)
+
+        # This is required because the parser for TRE doesn't allow
+        # rational bounds on durations.
+        self.precision = precision
+        # This is a panda dataframe containing the signal.
+        self.df = df
+        # This is a string containing the template TRE.
+        self.template_formula = template_for
+        # This is a list of positive examples which the formula should match.
+        self.labels = labels
+        # This is a list of predicates for timing.
+        self.time_preds = tpreds
+        # This is a list of predicates for magnitude.
+        self.mag_preds = mpreds
+
+    def member(self, point):
+        prec = self.precision
+        query_formula = self.template_formula
+        for key in self.time_preds:
+            query_formula = query_formula.replace(key, str(int((1 / prec) * self.time_preds[key](point))))
+        query_preds = {}
+        for key in self.mag_preds:
+            query_preds[key] = self.mag_preds[key](point)
+        # Assuming value of the first parameter to be the bound on false negatives
+        res = num_false_negatives_bound(self.df, query_formula, self.labels, point[0], timescale=prec, dtype="float",
+                                        **query_preds)
+        return res
+
+    # TODO: temporary. change later
+
+    def dim(self):
+        return 2
diff --git a/ParetoLib/Oracle/__init__.py b/ParetoLib/Oracle/__init__.py
index e9008fa81f11702353d2de4b6e4b55e88e7a28a5..7cd94ea41a35de7b742ae5642a4586f45602e0d2 100755
--- a/ParetoLib/Oracle/__init__.py
+++ b/ParetoLib/Oracle/__init__.py
@@ -15,7 +15,7 @@ import logging
 
 __name__ = 'Oracle'
 __all__ = ['NDTree', 'Oracle', 'OracleFunction', 'OraclePoint', 'OracleSTL', 'OracleSTLe', 'OracleEpsSTLe',
-           'OraclePolytope', 'OracleMatlab']
+           'OraclePolytope', 'OracleMatlab', 'OracleTRE', 'OraclefnTRE', 'OracleTestTRE']
 
 # Logging configuration
 # logging.basicConfig(format='%(message)s', level=logging.INFO)
diff --git a/README.md b/README.md
index c38a806132e2d198197be30a3fb08153bab7e3c4..e479d76db8ee9a35a2a5fe9a23294ec3b232f2b6 100755
--- a/README.md
+++ b/README.md
@@ -278,4 +278,13 @@ $ python ParetoLib/GUI/GUI.py
 
 ![alt text][GUI]
 
-[GUI]: https://gricad-gitlab.univ-grenoble-alpes.fr/requenoj/multidimensional_search/blob/master/doc/image/gui.png "Graphical User Interface"
\ No newline at end of file
+[GUI]: https://gricad-gitlab.univ-grenoble-alpes.fr/requenoj/multidimensional_search/blob/master/doc/image/gui.png "Graphical User Interface"
+
+### Running Timed Regular Extensions (TRE)
+ParetoLib supports the execution of Timed Regular Expressions.
+It relies on [QueryTRE], an adapter for ParetoLib that forks of [Timedrel] and [Montre]. 
+In order to install [QueryTRE], please, refer to the GitHub reporistory and follow the installation instructions.
+
+[QueryTRE]: https://github.com/nachorequeno/querytre
+[Timedrel]: https://github.com/doganulus/timedrel
+[Montre]: https://github.com/doganulus/montre
diff --git a/doc/examples/OracleTRE/ecg/debugTest.csv b/doc/examples/OracleTRE/ecg/debugTest.csv
new file mode 100644
index 0000000000000000000000000000000000000000..57ca24041e680141cf648f1a05e9d7daaa6d458c
--- /dev/null
+++ b/doc/examples/OracleTRE/ecg/debugTest.csv
@@ -0,0 +1,13699 @@
+time_stamp, one, two, three, four
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\ No newline at end of file
diff --git a/doc/examples/OracleTRE/example1d_test1_tre.py b/doc/examples/OracleTRE/example1d_test1_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..060f882481866c5ee35e1da6e7f8de8877bdf62a
--- /dev/null
+++ b/doc/examples/OracleTRE/example1d_test1_tre.py
@@ -0,0 +1,30 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTRE import OracleTRE
+from ParetoLib.Search.Search import EPS
+
+
+def low(param):
+    return lambda x: x[1] <= 1.0
+
+
+def high(param):
+    return lambda x: x[1] > 1.0
+
+
+# prec = 0.01 * EPS
+prec = 1
+
+expression = "(low ; high) [3 : 4]"
+# expression = "((low [0 : 48] ; high [0 : 48]))"
+# expression = "((low ; high))"
+
+df = pd.read_csv("smartgrid/normal.csv")
+oc = OracleTRE(precision=prec, df=df, template_for=expression, labels=[], fn_bound=0, tpreds={},
+               mpreds={'low': low, 'high': high}, dtype="float")
+
+point = (0.0, 0.0)
+zones = oc.evaluate(point)
+result = [(z.bmin().value, z.bmax().value, z.emin().value, z.emax().value, z.dmin().value, z.dmax().value)
+          for z in zones]
+print(result)
diff --git a/doc/examples/OracleTRE/example2d_fn_tre.py b/doc/examples/OracleTRE/example2d_fn_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..1a16efd817cd94a03418a3b612506bdab98e39d9
--- /dev/null
+++ b/doc/examples/OracleTRE/example2d_fn_tre.py
@@ -0,0 +1,49 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OraclefnTRE import OraclefnTRE
+from ParetoLib.Search.Search import Search2D, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+
+def my_mag_pred(c):
+    return lambda x: x[2] >= c
+
+
+def create_pred(param):
+    return lambda x: x[2] <= param[1]
+
+
+def timed_pred1(param):
+    return 100.0
+
+
+# Definition of the n-dimensional space
+min_x, min_y = (0.0, -2.0)
+max_x, max_y = (20.0, 2.0)
+
+# First parameter is the bound on false negatives.
+# Second parameter is the upper bound on magnitude.
+
+labels = [(189, 269), (426,506), (666,746), (904,984), \
+    (1148,1228), (1390,1470), (1631,1711), (1862,1942), (2105,2185), (2353,2433)]
+
+oc = OraclefnTRE(prec, df, "boundabove [0 : tp0]", labels, {'tp0': timed_pred1}, {'boundabove': create_pred})
+res = oc.member((98.6, 2.0))
+print(res)
+rs = Search2D(ora=oc,
+              min_cornerx=min_x,
+              min_cornery=min_y,
+              max_cornerx=max_x,
+              max_cornery=max_y,
+              epsilon=EPS,
+              delta=0.1,
+              max_step=STEPS,
+              blocking=True,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/example2d_test1_tre.py b/doc/examples/OracleTRE/example2d_test1_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..29e816f67e47b6c26599994a2ee36eb97078f738
--- /dev/null
+++ b/doc/examples/OracleTRE/example2d_test1_tre.py
@@ -0,0 +1,51 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTestTRE import OracleTestTRE
+from ParetoLib.Search.Search import Search2D, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+def cpa0(param):
+    return lambda x: x[2] <= param[0]
+
+def cpb1(param):
+    return lambda x: x[2] >= -param[1]
+
+def timed_pred1(param):
+    return 100.0
+
+def timed_pred2(param):
+    return 200.0
+
+
+nd = 2
+
+# Definition of the n-dimensional space
+min_x, min_y = (-2.0, -2.0)
+max_x, max_y = (2.0, 2.0)
+
+total_volume = 4.0*4.0
+
+labels = [(189, 269), (426,506), (666,746), (904,984), \
+    (1148,1228), (1390,1470), (1631,1711), (1862,1942), (2105,2185), (2353,2433)]
+
+template_expression = "((ba0 & bb1) [0 : tp2]) ; ((ba0 & bb1) [0 : tp1]) ; ((ba0 & bb1) [0 : tp2])"
+
+oc = OracleTestTRE(nd ,prec, df, template_expression, labels, 0, {'tp1': timed_pred1, 'tp2': timed_pred2}, \
+    {'ba0': cpa0, 'bb1': cpb1})
+rs = Search2D(ora=oc,
+              min_cornerx=min_x,
+              min_cornery=min_y,
+              max_cornerx=max_x,
+              max_cornery=max_y,
+              epsilon=EPS,
+              delta=0.01*total_volume,
+              max_step=STEPS,
+              blocking=True,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/example2d_tre.py b/doc/examples/OracleTRE/example2d_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..1b4470a582170cae6ffbae068359478a06608acd
--- /dev/null
+++ b/doc/examples/OracleTRE/example2d_tre.py
@@ -0,0 +1,43 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTRE import OracleTRE
+from ParetoLib.Search.Search import Search2D, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+
+def my_mag_pred(c):
+    return lambda x: x[2] >= c
+
+
+def create_pred(param):
+    return lambda x: x[2] <= param[1]
+
+
+def timed_pred1(param):
+    return param[0]
+
+
+# Definition of the n-dimensional space
+min_x, min_y = (0.0, -2.0)
+max_x, max_y = (100.0, 2.0)
+
+oc = OracleTRE(prec, df, "boundabove [0 : tp0]", [(189, 269)], 0, {'tp0': timed_pred1}, {'boundabove': create_pred})
+res = oc.member((98.6, 2.0))
+print(res)
+rs = Search2D(ora=oc,
+              min_cornerx=min_x,
+              min_cornery=min_y,
+              max_cornerx=max_x,
+              max_cornery=max_y,
+              epsilon=EPS,
+              delta=1.0,
+              max_step=STEPS,
+              blocking=True,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/example3d_test2_tre.py b/doc/examples/OracleTRE/example3d_test2_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..1954440f6e0bd119b873b69984d3e4008de313ae
--- /dev/null
+++ b/doc/examples/OracleTRE/example3d_test2_tre.py
@@ -0,0 +1,61 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTestTRE import OracleTestTRE
+from ParetoLib.Search.Search import Search3D, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+
+def cpa0(param):
+    return lambda x: x[2] <= param[0]
+
+
+def cpb1(param):
+    return lambda x: x[2] >= -param[1]
+
+
+def cpa2(param):
+    return lambda x: x[2] <= param[2]
+
+
+def timed_pred1(param):
+    return 100.0
+
+
+def timed_pred2(param):
+    return 200.0
+
+
+nd = 3
+
+# Definition of the n-dimensional space
+min_x, min_y, min_z = (-2.0, -2.0, -2.0)
+max_x, max_y, max_z = (2.0, 2.0, 2.0)
+
+total_volume = 4.0 * 4.0 * 4.0
+
+labels = [(189, 269), (426, 506), (666, 746), (904, 984), \
+          (1148, 1228), (1390, 1470), (1631, 1711), (1862, 1942), (2105, 2185), (2353, 2433)]
+
+template_expression = "((ba0 & bb1) [0 : tp2]) ; ((ba2 & bb1) [0 : tp1]) ; ((ba0 & bb1) [0 : tp2])"
+
+oc = OracleTestTRE(nd, prec, df, template_expression, labels, 0, {'tp1': timed_pred1, 'tp2': timed_pred2},
+                   {'ba0': cpa0, 'bb1': cpb1, 'ba2': cpa2})
+rs = Search3D(ora=oc,
+              min_cornerx=min_x,
+              min_cornery=min_y,
+              min_cornerz=min_z,
+              max_cornerx=max_x,
+              max_cornery=max_y,
+              max_cornerz=max_z,
+              epsilon=EPS,
+              delta=0.01 * total_volume,
+              max_step=STEPS,
+              blocking=True,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/examplend_test3_tre.py b/doc/examples/OracleTRE/examplend_test3_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..d505c3e7f938eb593529dfd1faf87b853578b0dd
--- /dev/null
+++ b/doc/examples/OracleTRE/examplend_test3_tre.py
@@ -0,0 +1,54 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTestTRE import OracleTestTRE
+from ParetoLib.Search.Search import SearchND, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+def cpa0(param):
+    return lambda x: x[2] <= param[0]
+
+def cpb1(param):
+    return lambda x: x[2] >= -param[1]
+
+def cpa2(param):
+    return lambda x: x[2] <= param[2]
+
+def cpb3(param):
+    return lambda x: x[2] >= -param[3]
+
+def timed_pred1(param):
+    return 100.0
+
+def timed_pred2(param):
+    return 200.0
+
+
+nd = 4
+
+# Definition of the n-dimensional space
+min_c, max_c = (-2.0, 2.0)
+
+total_volume = 4.0*4.0*4.0*4.0
+
+labels = [(189, 269), (426,506), (666,746), (904,984), \
+    (1148,1228), (1390,1470), (1631,1711), (1862,1942), (2105,2185), (2353,2433)]
+
+template_expression = "((ba0 & bb1) [0 : tp2]) ; ((ba2 & bb3) [0 : tp1]) ; ((ba0 & bb1) [0 : tp2])"
+
+oc = OracleTestTRE(nd ,prec, df, template_expression, labels, 0, {'tp1': timed_pred1, 'tp2': timed_pred2}, \
+    {'ba0': cpa0, 'bb1': cpb1, 'ba2': cpa2, 'bb3': cpb3})
+rs = SearchND(ora=oc,
+              min_corner=min_c,
+              max_corner=max_c,
+              epsilon=EPS,
+              delta=0.01*total_volume,
+              max_step=1000,
+              blocking=False,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/examplend_test4_tre.py b/doc/examples/OracleTRE/examplend_test4_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..c7fb5154b12d09ed8a5cacabd2a8adee48ac0d29
--- /dev/null
+++ b/doc/examples/OracleTRE/examplend_test4_tre.py
@@ -0,0 +1,57 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTestTRE import OracleTestTRE
+from ParetoLib.Search.Search import SearchND, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+def cpa0(param):
+    return lambda x: x[2] <= param[0]
+
+def cpb1(param):
+    return lambda x: x[2] >= -param[1]
+
+def cpa2(param):
+    return lambda x: x[2] <= param[2]
+
+def cpb3(param):
+    return lambda x: x[2] >= -param[3]
+
+def cpa4(param):
+    return lambda x: x[2] <= param[4]
+
+def timed_pred1(param):
+    return 100.0
+
+def timed_pred2(param):
+    return 200.0
+
+
+nd = 5
+
+# Definition of the n-dimensional space
+min_c, max_c = (-2.0, 2.0)
+
+total_volume = 4.0*4.0*4.0*4.0*4.0
+
+labels = [(189, 269), (426,506), (666,746), (904,984), \
+    (1148,1228), (1390,1470), (1631,1711), (1862,1942), (2105,2185), (2353,2433)]
+
+template_expression = "((ba0 & bb1) [0 : tp2]) ; ((ba2 & bb3) [0 : tp1]) ; ((ba4 & bb1) [0 : tp2])"
+
+oc = OracleTestTRE(nd ,prec, df, template_expression, labels, 0, {'tp1': timed_pred1, 'tp2': timed_pred2}, \
+    {'ba0': cpa0, 'bb1': cpb1, 'ba2': cpa2, 'bb3': cpb3, 'ba4': cpa4})
+rs = SearchND(ora=oc,
+              min_corner=min_c,
+              max_corner=max_c,
+              epsilon=EPS,
+              delta=0.01*total_volume,
+              max_step=1000,
+              blocking=False,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/examplend_test5_tre.py b/doc/examples/OracleTRE/examplend_test5_tre.py
new file mode 100644
index 0000000000000000000000000000000000000000..4190413df9dae93139231f8e198fdc139eae13d8
--- /dev/null
+++ b/doc/examples/OracleTRE/examplend_test5_tre.py
@@ -0,0 +1,60 @@
+import pandas as pd
+
+from ParetoLib.Oracle.OracleTestTRE import OracleTestTRE
+from ParetoLib.Search.Search import SearchND, EPS, DELTA, STEPS
+
+prec = 0.01 * EPS
+
+df = pd.read_csv('./ecg/debugTest.csv')
+
+def cpa0(param):
+    return lambda x: x[2] <= param[0]
+
+def cpb1(param):
+    return lambda x: x[2] >= -param[1]
+
+def cpa2(param):
+    return lambda x: x[2] <= param[2]
+
+def cpb3(param):
+    return lambda x: x[2] >= -param[3]
+
+def cpa4(param):
+    return lambda x: x[2] <= param[4]
+
+def cpb5(param):
+    return lambda x: x[2] >= -param[5]
+
+def timed_pred1(param):
+    return 100.0
+
+def timed_pred2(param):
+    return 200.0
+
+
+nd = 6
+
+# Definition of the n-dimensional space
+min_c, max_c = (-2.0, 2.0)
+
+total_volume = 4.0*4.0*4.0*4.0*4.0*4.0
+
+labels = [(189, 269), (426,506), (666,746), (904,984), \
+    (1148,1228), (1390,1470), (1631,1711), (1862,1942), (2105,2185), (2353,2433)]
+
+template_expression = "((ba0 & bb1) [0 : tp2]) ; ((ba2 & bb3) [0 : tp1]) ; ((ba4 & bb5) [0 : tp2])"
+
+oc = OracleTestTRE(nd ,prec, df, template_expression, labels, 0, {'tp1': timed_pred1, 'tp2': timed_pred2}, \
+    {'ba0': cpa0, 'bb1': cpb1, 'ba2': cpa2, 'bb3': cpb3, 'ba4': cpa4, 'bb5': cpb5})
+rs = SearchND(ora=oc,
+              min_corner=min_c,
+              max_corner=max_c,
+              epsilon=EPS,
+              delta=0.01*total_volume,
+              max_step=1000,
+              blocking=False,
+              sleep=0,
+              opt_level=0,
+              parallel=False,
+              logging=True,
+              simplify=True)
diff --git a/doc/examples/OracleTRE/smartgrid/normal.csv b/doc/examples/OracleTRE/smartgrid/normal.csv
new file mode 100644
index 0000000000000000000000000000000000000000..91ad2dcf272ed1fb2c329c98b87eada5658988d8
--- /dev/null
+++ b/doc/examples/OracleTRE/smartgrid/normal.csv
@@ -0,0 +1,49 @@
+time_stamp, one
+0,0.6460
+1,0.4940
+2,0.6230
+3,0.6180
+4,0.5870
+5,0.3170
+6,0.1300
+7,0.0560
+8,0.1330
+9,0.1220
+10,0.0780
+11,0.1340
+12,0.1000
+13,0.0800
+14,0.1480
+15,0.0990
+16,0.0650
+17,0.1630
+18,0.1050
+19,0.0530
+20,0.3710
+21,0.2460
+22,0.4550
+23,0.2270
+24,0.2670
+25,0.1760
+26,0.8170
+27,0.6100
+28,0.0930
+29,1.7750
+30,1.0170
+31,0.5110
+32,0.3100
+33,0.3940
+34,0.9490
+35,0.4440
+36,0.2930
+37,0.2920
+38,3.4580
+39,0.6070
+40,0.3650
+41,0.2890
+42,0.3000
+43,0.4990
+44,0.5120
+45,0.6820
+46,0.8800
+47,0.5490
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index b09f483d3a038726925a9797b0d065fa149f8dc8..713d5116c6748f3ce9964800a381d50ce6f3e61d 100755
--- a/requirements.txt
+++ b/requirements.txt
@@ -11,4 +11,5 @@ sortedcontainers>=1.5.10
 sympy>=1.12
 typing>=3.7.4.3
 typing_extensions>=4.5.0
-wheel>=0.38.4
\ No newline at end of file
+wheel>=0.38.4
+querytre>=0.1.0
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 4a1f7180612ff7eecd6af15137d6b405c4b01d34..a701a48daf2541a6f6f6280bc5f26579cf570827 100644
--- a/setup.py
+++ b/setup.py
@@ -35,7 +35,8 @@ if __name__ == '__main__':
             'typing >= 3.7.4.3',
             'typing_extensions>=4.4.0',
             'sympy>=1.12',
-            'wheel>=0.38.4'
+            'wheel>=0.38.4',
+            'querytre>=0.1.0'
         ],
         #packages_dir={'': 'ParetoLib'},
         #packages=find_packages(exclude=['ParetoLib._py3k', 'Tests']),
diff --git a/setup_cython.py b/setup_cython.py
index 5cf0ab61b04a814da21b5c745fe267baf9e210db..c96357d331f64f96a61dcfb08eeca6e1b8c82ea8 100644
--- a/setup_cython.py
+++ b/setup_cython.py
@@ -111,7 +111,8 @@ if __name__ == '__main__':
             'typing >= 3.7.4.3',
             'typing_extensions>=4.4.0',
             'sympy>=1.12',
-            'wheel>=0.38.4'
+            'wheel>=0.38.4',
+            'querytre>=0.1.0'
         ],
         ext_modules=cythonize(module_list=extension_list, exclude=exclude_list, nthreads=cpu_count()),
         # packages_dir={'': 'ParetoLib'},