180 lines
4.6 KiB
Plaintext
180 lines
4.6 KiB
Plaintext
---
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title: "Data Science Methods for Forecasting in Energy and Economics"
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date: 2025-07-10
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format:
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revealjs:
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embed-resources: true
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footer: ""
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execute:
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daemon: false
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highlight-style: github
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---
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## B-spline Basis Functions
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```{ojs}
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d3 = require("d3@7")
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```
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```{ojs}
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bsplineData = FileAttachment("basis_functions.csv").csv({ typed: true })
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knotValues = Array.from(new Set(bsplineData.map(d => d.knots))).sort((a, b) => a - b)
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minKnots = Math.min(...knotValues)
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maxKnots = Math.max(...knotValues)
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muValues = Array.from(new Set(bsplineData.map(d => d.mu))).sort((a, b) => a - b)
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minMu = Math.min(...muValues)
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maxMu = Math.max(...muValues)
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// Create a more compact layout for controls
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viewof controls = Inputs.form({
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knots: Inputs.range([minKnots, maxKnots], {value: minKnots, step: 1, label: "Knots:", width: 200}),
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mu: Inputs.range([minMu, maxMu], {value: 0.5, step: 0.1, label: "μ:", width: 200})
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}, {
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submit: false,
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layout: 'horizontal',
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style: 'display: flex; gap: 20px; align-items: center; margin-bottom: 10px; font-size: 0.9em;'
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})
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selectedKnots = controls.knots
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selectedMu = controls.mu
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filteredBspline = bsplineData.filter(function(row) {
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return selectedKnots == row.knots && Math.abs(selectedMu - row.mu) < 0.001;
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})
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```
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```{ojs}
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// D3-based visualization for B-spline basis functions
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chart = {
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// Create chart dimensions
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const width = 800;
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const height = 400;
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const margin = {top: 40, right: 20, bottom: 40, left: 40};
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const innerWidth = width - margin.left - margin.right;
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const innerHeight = height - margin.top - margin.bottom;
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// Create scales
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const x = d3.scaleLinear()
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.domain([0, 1])
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.range([0, innerWidth]);
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const y = d3.scaleLinear()
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.domain([0, 0.7])
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.range([innerHeight, 0]);
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// Create a color scale for the basis functions
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const color = d3.scaleOrdinal(d3.schemeCategory10);
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// Create SVG
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const svg = d3.create("svg")
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.attr("width", width)
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.attr("height", height)
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.attr("viewBox", [0, 0, width, height])
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.attr("style", "max-width: 100%; height: auto;");
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// Add chart title
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svg.append("text")
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.attr("class", "chart-title")
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.attr("x", width / 2)
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.attr("y", 20)
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.attr("text-anchor", "middle")
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.attr("font-size", "16px")
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.attr("font-weight", "bold");
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// Create the chart group
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const g = svg.append("g")
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.attr("transform", `translate(${margin.left},${margin.top})`);
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// Add axes
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const xAxis = g.append("g")
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.attr("transform", `translate(0,${innerHeight})`)
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.call(d3.axisBottom(x).ticks(10));
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const yAxis = g.append("g")
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.call(d3.axisLeft(y).ticks(5));
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// Add axis labels
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g.append("text")
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.attr("x", innerWidth / 2)
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.attr("y", innerHeight + 35)
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.attr("text-anchor", "middle")
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.text("x");
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g.append("text")
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.attr("transform", "rotate(-90)")
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.attr("x", -innerHeight / 2)
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.attr("y", -30)
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.attr("text-anchor", "middle")
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.text("y");
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// Add a horizontal line at y = 0
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g.append("line")
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.attr("x1", 0)
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.attr("x2", innerWidth)
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.attr("y1", y(0))
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.attr("y2", y(0))
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.attr("stroke", "#000")
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.attr("stroke-opacity", 0.2);
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// Add gridlines
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g.append("g")
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.attr("class", "grid-lines")
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.selectAll("line")
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.data(y.ticks(5))
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.join("line")
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.attr("x1", 0)
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.attr("x2", innerWidth)
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.attr("y1", d => y(d))
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.attr("y2", d => y(d))
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.attr("stroke", "#ccc")
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.attr("stroke-opacity", 0.5);
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// Create a line generator
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const line = d3.line()
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.x(d => x(d.x))
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.y(d => y(d.y));
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// Group to contain the basis function lines
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const linesGroup = g.append("g")
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.attr("class", "basis-functions");
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// Function to update the chart with new data
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function updateChart(data) {
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// Group data by basis function
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const groupedData = d3.group(data, d => d.b);
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// Update the chart title
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svg.select(".chart-title")
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.text(`B-spline Basis Functions (${selectedKnots} knots, μ = ${selectedMu})`);
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// Update or create paths
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const paths = linesGroup.selectAll("path")
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.data(Array.from(groupedData.values()));
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// Remove paths that are no longer needed
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paths.exit().remove();
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// Add new paths
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paths.enter()
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.append("path")
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.attr("fill", "none")
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.attr("stroke-width", 3)
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.attr("stroke", (_, i) => color(i))
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.merge(paths) // Merge with existing paths for transition
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.transition()
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.duration(750)
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.attr("d", line);
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}
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// Store the update function
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svg.node().update = updateChart;
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// Initial render
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updateChart(filteredBspline);
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return svg.node();
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}
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```
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