Update JSON files with latest GitHub data

Author: github-actions[bot]

public/areas.json

@@ -42,7 +42,7 @@
                 "project_topic": "ricoslam",
                 "project_logo": "ricoSLAM.png",
                 "total_stars": 1,
-                "total_repos": 2
+                "total_repos": 3
             },
             {
                 "project_name": "Apostles",
@@ -61,7 +61,7 @@
                 "project_name": "YAKE!",
                 "project_topic": "ai",
                 "project_logo": "yake.png",
-                "total_stars": 1871,
+                "total_stars": 1872,
                 "total_repos": 1
             }
         ]

public/projects.json

@@ -7,14 +7,14 @@
         "project_description": "GridSights is a modular API for managing grid topology, processing historical data, and performing distributed state estimation to predict voltages at unmeasured nodes. VoltTune is a Python tool that detects and corrects voltage violations in distribution networks using a greedy optimisation algorithm, historical sensitivity matrices, and available flexibility (load reduction or injection).",
         "project_topic": "dd-tools-lv-grids",
         "project_tags": [
+            "smart-grids",
             "low-voltage-grids",
-            "dd-tools-lv-grids",
-            "power-systems",
             "voltage-prediction",
-            "smart-grids",
-            "energy",
+            "power-systems",
             "energy-management",
-            "state-estimation"
+            "dd-tools-lv-grids",
+            "state-estimation",
+            "energy"
         ],
         "top_repositories": [
             {
@@ -56,8 +56,8 @@
         "project_topic": "predigrid",
         "project_tags": [
             "forecasting-time-series",
-            "predigrid",
             "forecasting",
+            "predigrid",
             "energy"
         ],
         "top_repositories": [
@@ -167,11 +167,11 @@
         "project_description": "Collaborative analytics for the Energy Sector based on innovative collaborative forecasting algorithms that improve renewable energy or load predictability by combining data from different data owners.",
         "project_topic": "predico",
         "project_tags": [
-            "time-series-forecasting",
-            "ensemble-machine-learning",
-            "data-market",
+            "predico",
             "collaborative-forecasting",
-            "predico"
+            "ensemble-machine-learning",
+            "time-series-forecasting",
+            "data-market"
         ],
         "top_repositories": [
             {
@@ -199,15 +199,15 @@
         "project_description": "Enershare defines a Data-Driven Reference Architecture for the energy domain, which is compliant with FIWARE, IDSA and GAIA-X. It creates a marketplace based on Blockchain and Smart Contracts with the aim of improving mutual trust amongst the actors of the ecosystem and increasing the security of the shared data.",
         "project_topic": "enershare",
         "project_tags": [
-            "tno-security-gateway",
-            "dataspaces",
-            "energy-communities",
             "renewable-energy-communities",
-            "price-optimization",
+            "energy-communities",
             "client-library",
+            "python",
+            "tno-security-gateway",
+            "price-optimization",
+            "dataspaces",
             "enershare",
-            "energy",
-            "python"
+            "energy"
         ],
         "top_repositories": [
             {
@@ -263,15 +263,15 @@
         "project_topic": "greendatai",
         "project_tags": [
             "data-marketplace",
-            "data-sharing-incentives",
-            "greendatai",
+            "collaborative-forecasting",
             "client-library",
-            "enershare",
             "python",
-            "energy",
-            "collaborative-forecasting",
             "machine-learning-algorithms",
-            "data-sharing"
+            "data-sharing",
+            "enershare",
+            "greendatai",
+            "data-sharing-incentives",
+            "energy"
         ],
         "top_repositories": [
             {
@@ -290,29 +290,29 @@
                 ]
             },
             {
-                "name": "data-sharing-barter-incentives-client",
-                "url": "https://github.com/INESCTEC/data-sharing-barter-incentives-client",
+                "name": "data-sharing-barter-incentives-forecast",
+                "url": "https://github.com/INESCTEC/data-sharing-barter-incentives-forecast",
                 "stars": 2,
                 "is_fork": false,
                 "topics": [
-                    "client-library",
-                    "python",
+                    "collaborative-forecasting",
+                    "data-sharing-incentives",
                     "enershare",
+                    "machine-learning-algorithms",
                     "greendatai",
                     "data-marketplace",
                     "energy"
                 ]
             },
             {
-                "name": "data-sharing-barter-incentives-forecast",
-                "url": "https://github.com/INESCTEC/data-sharing-barter-incentives-forecast",
+                "name": "data-sharing-barter-incentives-client",
+                "url": "https://github.com/INESCTEC/data-sharing-barter-incentives-client",
                 "stars": 2,
                 "is_fork": false,
                 "topics": [
-                    "collaborative-forecasting",
-                    "data-sharing-incentives",
+                    "client-library",
+                    "python",
                     "enershare",
-                    "machine-learning-algorithms",
                     "greendatai",
                     "data-marketplace",
                     "energy"
@@ -330,14 +330,14 @@
         "project_description": "InterConnect gathers 50 European entities to develop and demonstrate advanced solutions for connecting and converging digital homes and buildings with the electricity sector.",
         "project_topic": "interconnect",
         "project_tags": [
-            "paper",
             "interconnect",
-            "causality",
             "electric-vehicles",
-            "energy",
+            "causality",
             "python",
             "recommender",
-            "incentives"
+            "incentives",
+            "paper",
+            "energy"
         ],
         "top_repositories": [
             {
@@ -395,8 +395,8 @@
         ],
         "top_repositories": [
             {
-                "name": "ATTEST-shared-resource-planning",
-                "url": "https://github.com/INESCTEC/ATTEST-shared-resource-planning",
+                "name": "ATTEST-WP2.6-Market-Simulator",
+                "url": "https://github.com/INESCTEC/ATTEST-WP2.6-Market-Simulator",
                 "stars": 0,
                 "is_fork": true,
                 "topics": [
@@ -405,8 +405,8 @@
                 ]
             },
             {
-                "name": "ATTEST-WP2.6-Market-Simulator",
-                "url": "https://github.com/INESCTEC/ATTEST-WP2.6-Market-Simulator",
+                "name": "ATTEST-shared-resource-planning",
+                "url": "https://github.com/INESCTEC/ATTEST-shared-resource-planning",
                 "stars": 0,
                 "is_fork": true,
                 "topics": [
@@ -436,8 +436,8 @@
         "project_description": "InterSTORE is an EU-funded project that aims to deploy and demonstrate a set of interoperable Open-Source tools to integrate Distributed Energy Storage (DES) and Distributed Energy Resources (DER), to enable the hybridization, utilisation and monetisation of storage flexibility, within a real-life environment.",
         "project_topic": "interstore",
         "project_tags": [
-            "energy",
-            "interstore"
+            "interstore",
+            "energy"
         ],
         "top_repositories": [
             {
@@ -482,8 +482,8 @@
         "project_description": "EMB3Rs stands for \u201cUser-driven Energy-Matching & Business Prospection Tool for Industrial Excess Heat/Cold Reduction, Recovery and Redistribution.",
         "project_topic": "emb3rs",
         "project_tags": [
-            "energy",
-            "emb3rs"
+            "emb3rs",
+            "energy"
         ],
         "top_repositories": [
             {
@@ -508,10 +508,10 @@
         "project_description": "A plug-and-play hardware and software solution that effortlessly transforms any agricultural robot into a fully autonomous system.",
         "project_topic": "navibox",
         "project_tags": [
-            "agro-food",
-            "robotics",
             "slam",
-            "navibox"
+            "robotics",
+            "navibox",
+            "agro-food"
         ],
         "top_repositories": [
             {
@@ -581,10 +581,19 @@
                     "robotics",
                     "ricoslam"
                 ]
+            },
+            {
+                "name": "ricoslam",
+                "url": "https://github.com/INESCTEC/ricoslam",
+                "stars": 0,
+                "is_fork": false,
+                "topics": [
+                    "ricoslam"
+                ]
             }
         ],
         "total_stars": 1,
-        "total_repositories": 2
+        "total_repositories": 3
     },
     {
         "project_area": "Robotics",
@@ -594,8 +603,8 @@
         "project_description": "Apostles aims at creating small wheeled mobile platforms with multimodal perception systems for R&D and STEM activities. Main goal is to bridge the gap between theory and practice, providing open-source hardware, electronics documentation, schematics, mechanical designs, tools, and code for researchers, educators, and students.",
         "project_topic": "apostles",
         "project_tags": [
-            "robotics",
-            "apostles"
+            "apostles",
+            "robotics"
         ],
         "top_repositories": [
             {
@@ -620,18 +629,18 @@
         "project_description": "YAKE! is a light-weight unsupervised automatic keyword extraction method which rests on text statistical features extracted from single documents to select the most important keywords of a text.",
         "project_topic": "ai",
         "project_tags": [
-            "keyword-extraction",
-            "unsupervised-approach",
-            "corpus-independent",
             "domain-and-language-independent",
             "single-document",
+            "unsupervised-approach",
+            "corpus-independent",
+            "keyword-extraction",
             "ai"
         ],
         "top_repositories": [
             {
                 "name": "yake",
                 "url": "https://github.com/INESCTEC/yake",
-                "stars": 1871,
+                "stars": 1872,
                 "is_fork": false,
                 "topics": [
                     "keyword-extraction",
@@ -643,7 +652,7 @@
                 ]
             }
         ],
-        "total_stars": 1871,
+        "total_stars": 1872,
         "total_repositories": 1
     }
 ]