diff --git a/firmware/opt/innovenergy/scripts/ExtractS3README.txt b/firmware/opt/innovenergy/scripts/ExtractS3README.txt
new file mode 100644
index 000000000..97854d4d7
--- /dev/null
+++ b/firmware/opt/innovenergy/scripts/ExtractS3README.txt
@@ -0,0 +1,127 @@
+This README file provides a comprehensive guide to utilizing a Python script for interacting with S3 storage,
+specifically designed for downloading and processing data files based on a specified time range and key parameters.
+The script requires Python3 installed on your system and makes use of the s3cmd tool for accessing data in cloud storage.
+It also illustrates the process of configuring s3cmd by creating a .s3cfg file with your access credentials.
+
+
+############ Create the .s3cfg file in home directory ################
+
+nano .s3cfg
+
+Copy this lines inside the file.
+
+[default]
+host_base = sos-ch-dk-2.exo.io
+host_bucket = %(bucket)s.sos-ch-dk-2.exo.io
+access_key = EXO4d838d1360ba9fb7d51648b0
+secret_key = _bmrp6ewWAvNwdAQoeJuC-9y02Lsx7NV6zD-WjljzCU
+use_https = True
+
+
+############ S3cmd instalation ################
+
+Please install s3cmd for retrieving data from our Cloud storage.
+
+sudo apt install s3cmd
+
+############ Python3 instalation ################
+
+To check if you have already have python3, run this command
+
+    python3 --version
+
+
+To install you can use this command:
+
+1)  sudo apt update
+
+2)  sudo apt install python3
+
+3)  python3 --version (to check if pyhton3 installed correctly)
+
+
+############ Run extractRange.py  ################
+
+usage: extractRange.py [-h] --key KEY --bucket-number BUCKET_NUMBER start_timestamp end_timestamp
+
+KEY: the key can be a one word or a path
+
+    for example: /DcDc/Devices/2/Status/Dc/Battery/voltage   ==> this will provide us a Dc battery Voltage of the DcDc device 2.
+    example : Dc/Battery/voltage ==> This will provide all DcDc Device voltage (including the avg voltage of all DcDc device)
+    example : voltage ==> This will provide all voltage of all devices in the Salimax
+
+BUCKET_NUMBER: This a number of bucket name for the instalation
+
+    List of bucket number/ instalation:
+        1: Prototype
+        2: Marti Technik (Bern)
+        3: Schreinerei Schönthal (Thun)
+        4: Wittmann Kottingbrunn
+        5: Biohof Gubelmann (Walde)
+        6: Steakhouse Mettmenstetten
+        7: Andreas Ballif / Lerchenhof
+        8: Weidmann Oberwil (ZG)
+        9: Christian Huber (EBS Elektrotechnik)
+
+
+start_timestamp end_timestamp: this must be a correct timestamp of 10 digits.
+The start_timestamp must be smaller than the end_timestamp.
+
+PS: The data will be downloaded to a folder named S3cmdData_{Bucket_Number}. If this folder does not exist, it will be created.
+If the folder exist, it will try to download data if there is no files in the folder.
+If the folder exist and contains at least one file, it will only data extraction.
+
+Example command:
+
+python3 extractRange.py 1707087500 1707091260 --key ActivePowerImportT2 --bucket-number 1
+
+
+################################  EXTENDED FEATURES FOR MORE ADVANCED USAGE ################################
+
+1) Multiple Keys Support:
+
+The script supports the extraction of data using multiple keys. Users can specify one or multiple keys separated by commas with the --keys parameter.
+This feature allows for more granular data extraction, catering to diverse data analysis requirements. For example, users can extract data for different
+metrics or parameters from the same or different CSV files within the specified range.
+
+2) Exact Match for Keys:
+
+With the --exact_match flag, the script offers an option to enforce exact matching of keys. This means that only the rows containing a key that exactly
+matches the specified key(s) will be considered during the data extraction process. This option enhances the precision of the data extraction, making it
+particularly useful when dealing with CSV files that contain similar but distinct keys.
+
+3) Dynamic Header Generation:
+
+The script dynamically generates headers for the output CSV file based on the keys provided. This ensures that the output file accurately reflects the
+extracted data, providing a clear and understandable format for subsequent analysis. The headers correspond to the keys used for data extraction, making
+it easy to identify and analyze the extracted data.
+
+4)Advanced Data Processing Capabilities:
+
+i) Booleans as Numbers: The --booleans_as_numbers flag allows users to convert boolean values (True/False) into numeric representations (1/0). This feature
+is particularly useful for analytical tasks that require numerical data processing.
+
+ii) Sampling Stepsize: The --sampling_stepsize parameter enables users to define the granularity of the time range for data extraction. By specifying the number
+of 2-second intervals, users can adjust the sampling interval, allowing for flexible data retrieval based on time.
+
+Example Command:
+
+python3 extractRange.py 1707087500 1707091260 --keys ActivePowerImportT2,Soc --bucket-number 1 --exact_match --booleans_as_numbers
+
+
+This command extracts data for ActivePowerImportT2 and TotalEnergy keys from bucket number 1, between the specified timestamps, with exact
+matching of keys and boolean values converted to numbers.
+
+Visualization and Data Analysis:
+
+After data extraction, the script facilitates data analysis by:
+
+i) Providing a visualization function to plot the extracted data. Users can modify this function to suit their specific analysis needs, adjusting
+plot labels, titles, and other matplotlib parameters.
+
+ii) Saving the extracted data in a CSV file, with dynamically generated headers based on the specified keys. This file can be used for further
+analysis or imported into data analysis tools.
+
+This Python script streamlines the process of data retrieval from S3 storage, offering flexible and powerful options for data extraction, visualization,
+and analysis. Its support for multiple keys, exact match filtering, and advanced processing capabilities make it a valuable tool for data analysts and
+researchers working with time-series data or any dataset stored in S3 buckets.
diff --git a/firmware/opt/innovenergy/scripts/TunnelToSalimax.sh b/firmware/opt/innovenergy/scripts/TunnelToSalimax.sh
new file mode 100644
index 000000000..f7c65bea5
--- /dev/null
+++ b/firmware/opt/innovenergy/scripts/TunnelToSalimax.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+
+host="ie-entwicklung@$1"
+
+tunnel() {
+  name=$1
+  ip=$2
+  rPort=$3
+  lPort=$4
+
+  echo -n "$name @ $ip    mapped to    localhost:$lPort  "
+  ssh -nNTL "$lPort:$ip:$rPort" "$host" 2> /dev/null &
+
+  until nc -vz 127.0.0.1 $lPort 2> /dev/null
+  do
+    echo -n .
+    sleep 0.3
+  done
+
+  echo "ok"
+}
+
+echo ""
+
+tunnel "Trumpf Inverter (http)  " 10.0.2.1 80 8001
+tunnel "Trumpf DCDC (http)      " 10.0.3.1 80 8002
+tunnel "Ext Emu Meter (http)    " 10.0.4.1 80 8003
+tunnel "Int Emu Meter (http)    " 10.0.4.2 80 8004
+tunnel "AMPT (http)             " 10.0.5.1 8080 8005
+
+tunnel "Trumpf Inverter (modbus)" 10.0.2.1 502 5001
+tunnel "Trumpf DCDC (modbus)    " 10.0.3.1 502 5002
+tunnel "Ext Emu Meter (modbus)  " 10.0.4.1 502 5003
+tunnel "Int Emu Meter           " 10.0.4.2 502 5004
+tunnel "AMPT (modbus)           " 10.0.5.1 502 5005
+tunnel "Adam                    " 10.0.1.1 502 5006
+tunnel "Batteries              " 127.0.0.1 6855 5007
+
+echo
+echo "press any key to close the tunnels ..."
+read -r -n 1 -s
+kill $(jobs -p)
+echo "done"
+
diff --git a/firmware/opt/innovenergy/scripts/deployAllInstalllationsSalimax.ch b/firmware/opt/innovenergy/scripts/deployAllInstalllationsSalimax.ch
new file mode 100644
index 000000000..6b1c68296
--- /dev/null
+++ b/firmware/opt/innovenergy/scripts/deployAllInstalllationsSalimax.ch
@@ -0,0 +1,31 @@
+#!/bin/bash
+
+dotnet_version='net6.0'
+salimax_ip="$1"
+username='ie-entwicklung'
+root_password='Salimax4x25'
+
+set -e
+
+echo -e "\n============================ Build ============================\n"
+
+dotnet publish  \
+       ./SaliMax.csproj \
+       -p:PublishTrimmed=false \
+       -c Release \
+       -r linux-x64
+
+echo -e "\n============================ Deploy ============================\n"
+ip_addresses=("10.2.3.115" "10.2.3.104" "10.2.4.33" "10.2.4.32" "10.2.4.36" "10.2.4.35" "10.2.4.154" "10.2.4.113" "10.2.4.29")
+
+for ip_address in "${ip_addresses[@]}"; do
+    rsync -v \
+          --exclude '*.pdb' \
+          ./bin/Release/$dotnet_version/linux-x64/publish/* \
+           $username@"$ip_address":~/salimax
+
+    ssh "$username"@"$ip_address" "cd salimax && echo '$root_password' | sudo -S ./restart"
+
+
+echo "Deployed and ran commands on $ip_address"
+done
diff --git a/firmware/opt/innovenergy/scripts/deploySalimax.sh b/firmware/opt/innovenergy/scripts/deploySalimax.sh
new file mode 100644
index 000000000..364c30a55
--- /dev/null
+++ b/firmware/opt/innovenergy/scripts/deploySalimax.sh
@@ -0,0 +1,23 @@
+#!/bin/bash
+
+dotnet_version='net6.0'
+salimax_ip="$1"
+username='ie-entwicklung'
+
+set -e
+
+echo -e "\n============================ Build ============================\n"
+
+dotnet publish  \
+       ./SaliMax.csproj \
+       -p:PublishTrimmed=false \
+       -c Release \
+       -r linux-x64
+
+echo -e "\n============================ Deploy ============================\n"
+
+rsync -v \
+      --exclude '*.pdb' \
+      ./bin/Release/$dotnet_version/linux-x64/publish/* \
+       $username@"$salimax_ip":~/salimax
+