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onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

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28 stars

Watchers

5 watching

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, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '
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onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

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Used by

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Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix"); } } catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms"); } } catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links"); } } catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); } })(); (function(){ try { var __m = "youtube.com"; var __re = new RegExp('^' + "youtube\\.com" + '
Skip to content

Repository files navigation

onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default"); } } catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
Skip to content

Repository files navigation

onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers"); } } catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); } })(); (function(){ try { var __m = "*"; var __re = new RegExp('^' + ".*" + '
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Repository files navigation

onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode"); } } catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); } })(); })();
Skip to content

Repository files navigation

onsset : Open Source Spatial Electrification Tool

PyPI versionBuild StatusCoverage StatusDocumentation Status

Scope

This repository contains the source code of the Open Source Spatial Electrification Tool OnSSET.

OnSSET can be run using interactive Jupyter Notebooks. First, the input file with GIS data extracted for each settlement should be created using the codes in the OnSSET_GIS_Extraction_notebook repository.

Next, run the Calibration.ipynb to calibrate the start year information.

Finally, run the OnSSET_Scenarios.ipynb, or the OnSSET_Scenarios_MultipleTimeSteps.ipynb if you want to run the code in multiple time-steps.

Installation

OnSSET is run using Python, most easily through Jupyter Notebook, but can also be run using another Python IDE. It is recommended to install OnSSET using Anaconda.

Install with the yml-file

  1. Download or clone the repository.

  2. Open Anaconda prompt. Navigate to the folder where the OnSSET code is installed.

  3. Install all the packages required in a new environment called "OnSSET" using:

conda env create -n OnSSET -f onsset_env.yml
  1. Activate the environment using:
conda activate OnSSET
  1. Finally, to run OnSSET using Jupyter Notebook, run the following command:
jupyter notebook

Contact

For more information regarding the tool, its functionality and implementation please visit OnSSET on LinkedIn or go to the OnSSET forum.

About

The code of the Open Source Spatial Electrification Tool (OnSSET)

Resources

Stars

28 stars

Watchers

5 watching

Forks

Releases

Packages

Used by

Contributors

Languages