Pitch

 
06

Applying graph theory to clean energy districts

Flow optimisation across heat networks

People10 Posts30 Dribs19

Event finish

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EDITED v. 29

6 months ago ~ oleg

Sketching

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EDITED v. 28

6 months ago ~ jonathan_chambers

6 months ago ~ leiv_andresen

Research

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EDITED v. 25

6 months ago ~ jonathan_chambers
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EDITED v. 24

6 months ago ~ jonathan_chambers

6 months ago ~ tyler_anderson

Cost function so we can compare algorithms:

def calculate_total_kwh_m(mst_table): return (mst_table['routes']*abs(mst_table['heat_total'])).sum()

6 months ago ~ leiv_andresen
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EDITED v. 18

6 months ago ~ jonathan_chambers

Iterative optimization with random perturbation of one distance.Reduction in total cost sum(abs(heat_total)*routes):

6 months ago ~ leiv_andresen

Project

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EDITED v. 15

6 months ago ~ jonathan_chambers

JOINED

6 months ago ~ sari_issa

requirements.txt content extracted by github copilot:

numpy pandas geopandas pickle-mixin sparse xarray scipy matplotlib contextily

6 months ago ~ leiv_andresen

JOINED

6 months ago ~ lukas_ringlage
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EDITED v. 13

6 months ago ~ jonathan_chambers

JOINED

6 months ago ~ leiv_andresen

Start

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EDITED v. 12

6 months ago ~ oleg
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EDITED v. 9

6 months ago ~ jonathan_chambers
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EDITED v. 8

6 months ago ~ jonathan_chambers

JOINED

6 months ago ~ jonathan_chambers
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EDITED v. 1

7 months ago ~ gaston_energy
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EDITED v. 6

7 months ago ~ gaston_energy
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EDITED v. 2

7 months ago ~ gaston_energy

Challenge shared
Tap here to review.

7 months ago ~ gaston_energy

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