v1/figures.json
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1 {
2 "version": "v1",
3 "figures": [
4 {
5 "name": "best ensemble prediction",
6 "tags": [
7 "best",
8 "ensemble",
9 "prediction"
10 ],
11 "location": "best_ensemble_prediction.png"
12 },
13 {
14 "name": "capacity and rul",
15 "tags": [
16 "capacity",
17 "and",
18 "rul"
19 ],
20 "location": "capacity_and_rul.png"
21 },
22 {
23 "name": "capacity distribution by temp",
24 "tags": [
25 "capacity",
26 "distribution",
27 "by",
28 "temp"
29 ],
30 "location": "capacity_distribution_by_temp.png"
31 },
32 {
33 "name": "capacity fade all batteries",
34 "tags": [
35 "capacity",
36 "fade",
37 "all",
38 "batteries"
39 ],
40 "location": "capacity_fade_all_batteries.png"
41 },
42 {
43 "name": "capacity fade by temperature",
44 "tags": [
45 "capacity",
46 "fade",
47 "by",
48 "temperature"
49 ],
50 "location": "capacity_fade_by_temperature.png"
51 },
52 {
53 "name": "ced curves",
54 "tags": [
55 "ced",
56 "curves"
57 ],
58 "location": "ced_curves.png"
59 },
60 {
61 "name": "classical best actual vs pred",
62 "tags": [
63 "classical",
64 "best",
65 "actual",
66 "vs",
67 "pred"
68 ],
69 "location": "classical_best_actual_vs_pred.png"
70 },
71 {
72 "name": "classical best residuals",
73 "tags": [
74 "classical",
75 "best",
76 "residuals"
77 ],
78 "location": "classical_best_residuals.png"
79 },
80 {
81 "name": "classical soh comparison",
82 "tags": [
83 "classical",
84 "soh",
85 "comparison"
86 ],
87 "location": "classical_soh_comparison.png"
88 },
89 {
90 "name": "classification confusion matrices",
91 "tags": [
92 "classification",
93 "confusion",
94 "matrices"
95 ],
96 "location": "classification_confusion_matrices.png"
97 },
98 {
99 "name": "degradation state distribution",
100 "tags": [
101 "degradation",
102 "state",
103 "distribution"
104 ],
105 "location": "degradation_state_distribution.png"
106 },
107 {
108 "name": "dg itransformer predictions",
109 "tags": [
110 "dg",
111 "itransformer",
112 "predictions"
113 ],
114 "location": "dg_itransformer_predictions.png"
115 },
116 {
117 "name": "dg itransformer training",
118 "tags": [
119 "dg",
120 "itransformer",
121 "training"
122 ],
123 "location": "dg_itransformer_training.png"
124 },
125 {
126 "name": "ensemble comparison",
127 "tags": [
128 "ensemble",
129 "comparison"
130 ],
131 "location": "ensemble_comparison.png"
132 },
133 {
134 "name": "ensemble weights",
135 "tags": [
136 "ensemble",
137 "weights"
138 ],
139 "location": "ensemble_weights.png"
140 },
141 {
142 "name": "feature correlation heatmap",
143 "tags": [
144 "feature",
145 "correlation",
146 "heatmap"
147 ],
148 "location": "feature_correlation_heatmap.png"
149 },
150 {
151 "name": "impedance evolution",
152 "tags": [
153 "impedance",
154 "evolution"
155 ],
156 "location": "impedance_evolution.png"
157 },
158 {
159 "name": "lstm actual vs predicted",
160 "tags": [
161 "lstm",
162 "actual",
163 "vs",
164 "predicted"
165 ],
166 "location": "lstm_actual_vs_predicted.png"
167 },
168 {
169 "name": "lstm training curves",
170 "tags": [
171 "lstm",
172 "training",
173 "curves"
174 ],
175 "location": "lstm_training_curves.png"
176 },
177 {
178 "name": "mc dropout uncertainty lstm",
179 "tags": [
180 "mc",
181 "dropout",
182 "uncertainty",
183 "lstm"
184 ],
185 "location": "mc_dropout_uncertainty_lstm.png"
186 },
187 {
188 "name": "radar top6",
189 "tags": [
190 "radar",
191 "top6"
192 ],
193 "location": "radar_top6.png"
194 },
195 {
196 "name": "re vs rct scatter",
197 "tags": [
198 "re",
199 "vs",
200 "rct",
201 "scatter"
202 ],
203 "location": "re_vs_rct_scatter.png"
204 },
205 {
206 "name": "shap xgboost soh",
207 "tags": [
208 "shap",
209 "xgboost",
210 "soh"
211 ],
212 "location": "shap_xgboost_soh.png"
213 },
214 {
215 "name": "soc coulomb counting demo",
216 "tags": [
217 "soc",
218 "coulomb",
219 "counting",
220 "demo"
221 ],
222 "location": "soc_coulomb_counting_demo.png"
223 },
224 {
225 "name": "soh degradation trends",
226 "tags": [
227 "soh",
228 "degradation",
229 "trends"
230 ],
231 "location": "soh_degradation_trends.png"
232 },
233 {
234 "name": "soh distribution",
235 "tags": [
236 "soh",
237 "distribution"
238 ],
239 "location": "soh_distribution.png"
240 },
241 {
242 "name": "transformer pt training curves",
243 "tags": [
244 "transformer",
245 "pt",
246 "training",
247 "curves"
248 ],
249 "location": "transformer_pt_training_curves.png"
250 },
251 {
252 "name": "transformer tf training curves",
253 "tags": [
254 "transformer",
255 "tf",
256 "training",
257 "curves"
258 ],
259 "location": "transformer_tf_training_curves.png"
260 },
261 {
262 "name": "unified model comparison",
263 "tags": [
264 "unified",
265 "model",
266 "comparison"
267 ],
268 "location": "unified_model_comparison.png"
269 },
270 {
271 "name": "vae anomaly detection",
272 "tags": [
273 "vae",
274 "anomaly",
275 "detection"
276 ],
277 "location": "vae_anomaly_detection.png"
278 },
279 {
280 "name": "vae latent umap",
281 "tags": [
282 "vae",
283 "latent",
284 "umap"
285 ],
286 "location": "vae_latent_umap.png"
287 },
288 {
289 "name": "vae lstm prediction",
290 "tags": [
291 "vae",
292 "lstm",
293 "prediction"
294 ],
295 "location": "vae_lstm_prediction.png"
296 },
297 {
298 "name": "voltage surface 3d",
299 "tags": [
300 "voltage",
301 "surface",
302 "3d"
303 ],
304 "location": "voltage_surface_3d.png"
305 }
306 ]
307 }