|
7 | 7 | "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.", |
8 | 8 | "project_topic": "predico", |
9 | 9 | "project_tags": [ |
10 | | - "predico", |
11 | 10 | "data-market", |
12 | 11 | "collaborative-analytics", |
13 | | - "collaborative-forecasting" |
| 12 | + "collaborative-forecasting", |
| 13 | + "predico" |
14 | 14 | ], |
15 | 15 | "top_repositories": [ |
16 | 16 | { |
|
37 | 37 | "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.", |
38 | 38 | "project_topic": "enershare", |
39 | 39 | "project_tags": [ |
40 | | - "energy-communities", |
41 | | - "python", |
42 | | - "energy", |
| 40 | + "enershare", |
43 | 41 | "client-library", |
44 | 42 | "price-optimization", |
| 43 | + "energy-communities", |
| 44 | + "energy", |
45 | 45 | "renewable-energy-communities", |
46 | | - "enershare", |
47 | | - "dataspaces", |
48 | | - "tno-security-gateway" |
| 46 | + "tno-security-gateway", |
| 47 | + "python", |
| 48 | + "dataspaces" |
49 | 49 | ], |
50 | 50 | "top_repositories": [ |
51 | 51 | { |
|
100 | 100 | "project_description": "GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes.", |
101 | 101 | "project_topic": "greendatai", |
102 | 102 | "project_tags": [ |
103 | | - "energy", |
104 | | - "python", |
105 | | - "client-library", |
106 | | - "data-marketplace", |
| 103 | + "greendatai", |
| 104 | + "data-sharing", |
107 | 105 | "enershare", |
108 | | - "machine-learning-algorithms", |
| 106 | + "client-library", |
109 | 107 | "data-sharing-incentives", |
| 108 | + "machine-learning-algorithms", |
| 109 | + "energy", |
110 | 110 | "collaborative-forecasting", |
111 | | - "greendatai", |
112 | | - "data-sharing" |
| 111 | + "data-marketplace", |
| 112 | + "python" |
113 | 113 | ], |
114 | 114 | "top_repositories": [ |
115 | 115 | { |
|
168 | 168 | "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.", |
169 | 169 | "project_topic": "interconnect", |
170 | 170 | "project_tags": [ |
171 | | - "energy", |
172 | | - "python", |
173 | 171 | "recommender", |
174 | 172 | "causality", |
| 173 | + "incentives", |
| 174 | + "energy", |
175 | 175 | "electric-vehicles", |
176 | | - "interconnect", |
177 | | - "incentives" |
| 176 | + "python", |
| 177 | + "interconnect" |
178 | 178 | ], |
179 | 179 | "top_repositories": [ |
180 | 180 | { |
|
271 | 271 | "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.", |
272 | 272 | "project_topic": "interstore", |
273 | 273 | "project_tags": [ |
274 | | - "energy", |
275 | | - "interstore" |
| 274 | + "interstore", |
| 275 | + "energy" |
276 | 276 | ], |
277 | 277 | "top_repositories": [ |
278 | 278 | { |
|
317 | 317 | "project_description": "EMB3Rs stands for \u201cUser-driven Energy-Matching & Business Prospection Tool for Industrial Excess Heat/Cold Reduction, Recovery and Redistribution.", |
318 | 318 | "project_topic": "emb3rs", |
319 | 319 | "project_tags": [ |
320 | | - "energy", |
321 | | - "emb3rs" |
| 320 | + "emb3rs", |
| 321 | + "energy" |
322 | 322 | ], |
323 | 323 | "top_repositories": [ |
324 | 324 | { |
|
344 | 344 | "project_topic": "tribe", |
345 | 345 | "project_tags": [ |
346 | 346 | "slam", |
| 347 | + "tribe", |
347 | 348 | "robotics", |
348 | | - "agro-food", |
349 | | - "tribe" |
| 349 | + "agro-food" |
350 | 350 | ], |
351 | 351 | "top_repositories": [ |
352 | 352 | { |
|
419 | 419 | "project_description": "Multisensor natural navigation and intelligent warehouse management systems for automated logistics in large-scale automotive industry environments.", |
420 | 420 | "project_topic": "greenauto", |
421 | 421 | "project_tags": [ |
422 | | - "robotics", |
423 | | - "greenauto" |
| 422 | + "greenauto", |
| 423 | + "robotics" |
424 | 424 | ], |
425 | 425 | "top_repositories": [ |
426 | 426 | { |
|
455 | 455 | "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.", |
456 | 456 | "project_topic": "ai", |
457 | 457 | "project_tags": [ |
458 | | - "unsupervised-approach", |
459 | 458 | "single-document", |
460 | | - "domain-and-language-independent", |
461 | | - "keyword-extraction", |
| 459 | + "unsupervised-approach", |
| 460 | + "ai", |
462 | 461 | "corpus-independent", |
463 | | - "ai" |
| 462 | + "keyword-extraction", |
| 463 | + "domain-and-language-independent" |
464 | 464 | ], |
465 | 465 | "top_repositories": [ |
466 | 466 | { |
|
0 commit comments