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#siting — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #siting, aggregated by home.social.

  1. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

  2. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

  3. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

  4. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #siting #demand #electricity #heterogeneity #substations #powertransmission #electricalpower #distrubition #service #city #urbanisation #extremeweather #model #modeling #parameters #factors #energycrisis #energy #urbanplanning #routing #outages #framework #UrbanPS #bigdata #AI #machinelearning #Pingxiang #Jiangxi #China #casestudy #coverage #utilisation #dynamic #load #loading #loadbalancing

  5. A Site Selection Framework For Urban Power Substation At Micro-Scale Using Spatial Optimization Strategy And Geospatial Big Data
    --
    doi.org/10.1111/tgis.13093 <-- shared paper
    --
    “In this study, [they] model spatiotemporal heterogeneity and incorporate it into optimizing the location of substations. The optimized substation placement ensures electrical service coverage for over 99% of the area during peak power usage seasons, compared to the current coverage of 72%...”

  6. Starting a new summer series over at The Rural Review highlighting law student work from the last year. Here's the first post: a short digest highlight some recent Berkeley labs work on the justice implications of renewable energy siting in rural America, written by one of my own fabulous students, Ryan McKeever (rising 3L at UNL, incoming FERC intern): ruralreconcile.org/ruralreview

    #rural #energyjustice #renewableenergy #siting #landuse #wind #solar