Swarthmore Battery OptimizationHorton AWS SimulationsHorton AWS ResultsNYC TypologiesYale Berkeley UpdateNYC Electrification Results - Capacity ConstraintsBay Area CFE AppendixNYC Electrification Results - Updated MetricsCoorsTek 9th St. RedevelopmentCharacterization Experiments100 (ish) cities to simulateDisaggregation ExplorationsUtilitiesDisaggregation Graph V2Combinations TestCombinations Test First Week ConstrainedCharacterization Graph V2Model Input CalibrationUT Model ResultsUT EEM All BuildingsMIT Model Input CalibrationMIT EEMsMIT Final Model ResultsMIT EEM All BuildingsMIT Monthly Baseline ResultsHorton Analysis ResultsHorton Solar + StorageGoogle Input CalibrationGoogle Monthly Baseline ResultsGoogle EEMsDC Energy Data AggregationEmissions VisualizationEPW ReaderSunpath DiagramPyschrometric Chart
Characterization Experiments
x = [0, ..._.shuffle([1, 2, 3])]
function reshape_energy(response) {
const zip = (row, columns) => _.zip(row, columns).map(d => d.flat());
const rows = response.data;
const columns = response.columns
const reshaped = rows.map(row => {
let zipped = zip(row, columns);
let obj = {}
zipped.forEach(d => {obj[d[1]] = d[0]});
return obj;
});
return reshaped;
}
reshaped_chars = reshape_characteristics(building)
reshaped_en = reshape_energy(building)
points = data.map(d => {
let scale = d3.scaleLinear([0, _.sum(d.weightedVals)], [0, 1]);
let ps = d.weightedVals.map(dd => scale(dd) * 100);
let zeros = new Array(ps.length).fill(0);
let zipped = _.zip(zeros, ps).flat();
zipped.push(0);
return {...d, points: zipped}
})
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
