diff --git a/README.md b/README.md
index 4e1bf152f0..acab4f9bac 100644
--- a/README.md
+++ b/README.md
@@ -26,6 +26,7 @@ Each country has a GHG mass flow that depends on neighboring countries. In order
 - Latvia: [energinet.dk](http://www.energinet.dk/EN/El/Sider/Det-nordiske-elsystem.aspx)
 - Lithuania: [energinet.dk](http://www.energinet.dk/EN/El/Sider/Det-nordiske-elsystem.aspx)
 - Norway: [energinet.dk](http://www.energinet.dk/EN/El/Sider/Det-nordiske-elsystem.aspx)
+- Romania: [Transelectrica](http://www.transelectrica.ro/en/web/tel/home)
 - Spain: [REE](https://demanda.ree.es/generacion_acumulada.html)
 - Sweden: [energinet.dk](http://www.energinet.dk/EN/El/Sider/Det-nordiske-elsystem.aspx)
 
diff --git a/api/static/app/main.js b/api/static/app/main.js
index 5f3c7503dc..a7ed5b9855 100644
--- a/api/static/app/main.js
+++ b/api/static/app/main.js
@@ -88,6 +88,31 @@ if (!nobrowsercheck && !isChrome()) {
             countries: ['FR', 'IT'],
             lonlat: [6.5, 44.5],
             rotation: 70
+        },
+        {
+            countries: ['RO', 'HU'],
+            lonlat: [21.8074107, 47.1141229],
+            rotation: -70
+        },
+        {
+            countries: ['RO', 'UA'],
+            lonlat: [24.821959, 47.768595],
+            rotation: 0
+        },
+        {
+            countries: ['RO', 'MD'],
+            lonlat: [28.009764, 47.003312],
+            rotation: 60
+        },
+        {
+            countries: ['RO', 'BG'],
+            lonlat: [25.609385, 43.674878],
+            rotation: 180
+        },
+        {
+            countries: ['RO', 'RS'],
+            lonlat: [21.469049, 44.947107],
+            rotation: -140
         }
     ];
 
@@ -388,7 +413,7 @@ if (!nobrowsercheck && !isChrome()) {
                 -countries[o].data.exchange[d]
             ];
             pair.netFlow = d3.mean(netFlows);
-            if (pair.netFlow == undefined)
+            if (pair.netFlow === undefined)
                 return;
             pair.co2 = function () {
                 return pair.countries.map(function (k) { return countries[k].data.co2; });
diff --git a/feeder/feeder.py b/feeder/feeder.py
index 68cd447694..f2c31106f6 100644
--- a/feeder/feeder.py
+++ b/feeder/feeder.py
@@ -11,6 +11,7 @@
 from parsers.LT import fetch_LT
 from parsers.LV import fetch_LV
 from parsers.NO import fetch_NO
+from parsers.RO import fetch_RO
 from parsers.SE import fetch_SE
 
 
@@ -30,8 +31,8 @@
     fetch_LT,
     fetch_LV,
     fetch_NO,
+    fetch_RO,
     fetch_SE
-    
 ]
 
 # Set up stats
diff --git a/feeder/parsers/RO.py b/feeder/parsers/RO.py
new file mode 100644
index 0000000000..1ef4cd48f9
--- /dev/null
+++ b/feeder/parsers/RO.py
@@ -0,0 +1,44 @@
+import arrow
+import dateutil
+import requests
+
+COUNTRY_CODE = 'RO'
+
+def fetch_RO():
+    url = 'http://www.transelectrica.ro/sen-filter'
+    data = {}
+    for item in requests.get(url).json():
+        d = list(item.iteritems())[0]
+        data[d[0]] = d[1]
+    
+    obj = {
+        'countryCode': COUNTRY_CODE,
+        'datetime': arrow.get(data['row1_HARTASEN_DATA'], "YY/M/D HH:mm:ss").replace(
+            tzinfo=dateutil.tz.gettz('Europe/Bucharest')).datetime
+    }
+    obj['consumption'] = {
+        'unknown': float(data['CONS'])
+    }
+    # According to http://www.transelectrica.ro/widget/web/tel/sen-harta/-/harta_WAR_SENOperareHartaportlet
+    # BALT and UCRS (for Baltic and Ukraine South) are categorized under Bulgary on transelectrica website. We did the same here.
+    obj['exchange'] = {
+        'BG': float(data.get('VARN', 0)) + float(data.get('DOBR', 0)) + float(data.get('KOZL1', 0)) + float(data.get('KOZL2', 0)) + float(data.get('BALT', 0)) + float(data.get('UCRS', 0)),
+        'HU': float(data.get('SAND', 0)) + float(data.get('BEKE1', 0)) + float(data.get('BEKE2', 0)),
+        'MD': float(data.get('COSE', 0)) + float(data.get('UNGE', 0)) + float(data.get('CIOA', 0)) + float(data.get('GOTE', 0)),
+        'RS': float(data.get('DJER', 0)) + float(data.get('PAN1', 0)) + float(data.get('PAN2', 0)) + float(data.get('KUSJ', 0)) + float(data.get('SIP_', 0)) + float(data.get('KIKI', 0)),
+        'UA': float(data.get('VULC', 0)) + float(data.get('MUKA', 0)) + float(data.get('COD1', 0))
+    }
+    obj['production'] = {
+        'biomass': float(data['BMASA']),
+        'coal': float(data['CARB']),
+        'gas': float(data['GAZE']),
+        'hydro': float(data['APE']),
+        'nuclear': float(data['NUCL']),
+        'solar': float(data['FOTO']),
+        'wind': float(data['EOLIAN'])
+    }
+
+    return obj
+
+if __name__ == '__main__':
+    print fetch_RO()