Each with its fit to DTEK Kyiv Regional Electric Grids, from 0 to 100%: how close it is in what it does, its industry, the distinctive parts both public maps hold, and size and region. 85% and above is a direct peer, 70 to 85 close, 60 to 70 related; under 65 is left out, so there may be few. Open a row for its breakdown.
Company · Utilities
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 67% | +66.7 |
| IndustrySame sector; both energy company on Wikidata | 100% | 33% | +33.3 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionNeither size, country nor business model known for both: left out. | n/a | — | — |
| Fit | 100% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Utilities · Russia
Energy company
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame sector; both energy company on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Utilities · Sweden
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame sector; both energy company on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Utilities · United States
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame sector; both energy company on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Utilities · Colombia
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame sector; both energy company on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
Company · Utilities · Germany
| Component | Match | Weight | Adds |
|---|---|---|---|
| What it doesHow close what it says it does reads to DTEK Kyiv Regional Electric Grids's, against an ordinary organization. | 100% | 63% | +63.2 |
| IndustrySame sector; both energy company on Wikidata | 100% | 32% | +31.6 |
| Shared partsNeeds a public map on both sides: left out. | n/a | — | — |
| Size & regionCountry different · size not known for both · model not known for both. | 0% | 5% | +0.0 |
| Fit | 95% | ||
Fit = Σ weight × match over the components known for both, the weights re-scaled to 100%. Unknown is left out, never counted as a difference.
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