Udemy AI for Energy Efficiency
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| Torrent Hash : | 6A96777D3F9BE33DA265F67444E555BFB41CA692 |
| Torrent Added : | at March 19, 2026, 6:09 p.m. in Other |
| Torrent Size : | 3.7 GB |
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Please Update (Trackers Info) Before Start " Udemy AI for Energy Efficiency" Torrent Downloading to See Updated Seeders And Leechers for Batter Torrent Download Speed.Torrent File Content (3 files)
Udemy AI for Energy Efficiency
Get Bonus Downloads Here.url -
1. 1-1Intrioduction.pdf -
1. 1-AI for Energy Efficiency_ From Traditional Audits to Data-Driven Optimization.pdf -
1. Coursera_Premium_Learning_Roadmap_Tracker.pdf -
1. Introduction (Description).html -
1. Introduction.mp4 -
1. Slide1.PNG -
2. Energy Challenges (Description).html -
2. Energy Challenges.mp4 -
2. SPM_version_report_LR.pdf -
2. Slide2.PNG -
2. Slide3.PNG -
2. Slide4.PNG -
3. From Energy 1.0 to Energy 4.0 (Description).html -
3. From Energy 1.0 to Energy 4.0.mp4 -
4. Energy_Data_Dictionary_Template.xlsx -
4. Energy_Metering_Math_Cheat_Sheet.pdf -
4. Industrial_Telemetry_Mapping_One_Pager.pdf -
4. Slide5.PNG -
4. Slide6.PNG -
4. Traditional_vs_AI_Energy_Analytics_Comparison.pdf -
4. Why AI For Energy (Description).html -
4. Why AI For Energy.mp4 -
5. AI_Use_Case_Cards_Energy.pdf -
5. Anomaly_Detection_Quickstart_Playbook.pdf -
5. Audit_Limits_to_AI_Fix_One_Pager.pdf -
5. Energy_Engineer_Skill_Matrix.xlsx -
5. Limitation Of Energy Audit (Description).html -
5. Limitation Of Energy Audit.mp4 -
5. MV_Mini_Guide_IPMVP_Style.pdf -
5. Peak_and_Demand_Charges_Explainer.pdf -
5. Savings_Persistence_Checklist.pdf -
5. Slide10.PNG -
5. Slide7.PNG -
5. Slide8.PNG -
5. Slide9.PNG -
5. Tool_Stack_Cheat_Sheet.pdf -
5. _Energy_4_0_Career_Roadmap.pdf -
6. AI_energy_prediction_template 2.xlsx -
6. Real Example of AI in DATA (Description).html -
6. Real Example of AI in DATA.mp4 -
7. The New Role Of Energy Engineers (Description).html -
7. The New Role Of Energy Engineers.mp4 -
8. AI_energy_real_applications22.xlsx -
8. Real Application AI on Data (Description).html -
8. Real Application AI on Data.mp4 -
10. 2-Understanding Energy Data for Machine Learning.pdf -
10. Module01_Context_Features_Cheat_Sheet.pdf -
10. Module01_Energy_Context_Log_Template.xlsx -
10. Module01_Energy_Curve_Interpretation_Guide.pdf -
10. Module01_Energy_Time_Series_Fundamentals_1pager.pdf -
10. Module01_MiniLab_TimeSeries_Behavior_Template.ipynb.bin -
10. Module01_Mini_Exercise_Energy_Curve_Reading_with_Solutions.pdf -
10. Why Data Energy is Different (Description).html -
10. Why Data Energy is Different.mp4 -
10. energy_data_15min.csv -
11. Hands On Energy Data (Description).html -
11. Hands On Energy Data.mp4 -
11. Module01_MiniLab_TimeSeries_Behavior_Template.ipynb.bin -
11. Module01_MiniLab_TimeSeries_Behavior_Template.py -
11. energy_data_15min.csv -
12. Energy Data and Load Curve (Description).html -
12. Energy Data and Load Curve.mp4 -
12. Load_Curves_Energy_Fingerprint_Guide.pdf -
12. MiniLab_Load_Curve_Fingerprint_Practice_Dataset.csv -
12. MiniLab_Load_Curve_Fingerprint_Template.ipynb.bin -
12. Mini_Exercise_Types_of_Energy_Data_and_Load_Curves_with_Solutions.pdf -
12. Multi_Source_Energy_Data_Requirements_Planner.xlsx -
12. Types_of_Energy_Data_Data_Map_OnePager.pdf -
12. powerconsumption.csv -
13. EnPI_Selection_Matrix_Buildings_vs_Industry.pdf -
13. Energy Performance Indicators (Description).html -
13. Energy Performance Indicators.mp4 -
13. Energy_Performance_Indicators_EnPI_Cheat_Sheet.pdf -
13. Energy_Performance_Indicators_EnPI_Tracker_Template.xlsx -
13. MiniLab_EnPI_Computation_Template.ipynb.bin -
13. Mini_Exercise_Energy_Performance_Indicators_with_Solutions.pdf -
14. Hands On kPIs (Description).html -
14. Hands On kPIs.mp4 -
14. MiniLab_EnPI_Computation_Template.ipynb.bin -
14. MiniLab_EnPI_Computation_Template.py -
14. enpi_inputs.csv -
15. Baseload_vs_Variable_Load_Separation_Guide.pdf -
15. MiniLab_Normalization_DegreeDays_Baseload_Template.ipynb.bin -
15. Mini_Exercise_Normalization_DegreeDays_Production_with_Solutions.pdf -
15. Normalization_Essentials_Cheat_Sheet.pdf -
15. Normalization_Weather_Production_Calculator.xlsx -
15. Weather and Production Dependency (Description).html -
15. Weather and Production Dependency.mp4 -
15. Weather_Normalization_Degree_Days_Guide.pdf -
15. normalization_inputs.csv -
16. Feature Engineering and Machine Learning (Description).html -
16. Feature Engineering and Machine Learning.mp4 -
16. Feature_Engineering_Checklist_Printable.pdf -
16. Feature_Engineering_Planner_and_Catalog.xlsx -
16. Feature_Engineering_Playbook_for_Energy_ML.pdf -
16. MiniLab_Feature_Engineering_Energy_Template.ipynb.bin -
16. Mini_Exercise_Feature_Engineering_Energy_with_Solutions.pdf -
16. energy_data.csv -
17. Hands On Feature Engineering (Description).html -
17. Hands On Feature Engineering.mp4 -
18. Bonus Unloking Energy Saving with Data (Description).html -
18. Bonus Unloking Energy Saving with Data.mp4 -
9. Note On Attachements.mp4 -
19. -Introduction & Learning Path (Description).html -
19. -Introduction & Learning Path.mp4 -
19. 3-Python & Data Engineering for Energy - Module 3.pdf -
19. Module3_Energy_Data_Pipeline_Checklist.xlsx -
19. Module3_MiniLab_Python_TimeSeries_Energy_Template.ipynb.bin -
19. Module3_Pandas_TimeSeries_Cheat_Sheet.pdf -
19. Module3_Python_Data_Engineering_for_Energy_Quick_Handbook.pdf -
19. Module3_Quiz_Python_TimeSeries_Cleaning_Features_with_Solutions.pdf -
19. your_energy_data (1).csv -
20. Industrial_Energy_Dataset_Structure_Schema_and_Pitfalls.pdf -
20. MiniLab_Slides3-4_Python_Energy_and_Dataset_Structure.ipynb.bin -
20. Python In Energy Industry (Description).html -
20. Python In Energy Industry.mp4 -
20. Python_in_Energy_Toolkit_Map.pdf -
20. Streaming_and_Storage_Quick_Guide_for_Energy_Data.pdf -
20. Video_Slides3-4_Ingestion_and_Validation_Checklist.xlsx -
20. energy.csv -
21. Hands on Data Set Energy.mp4 -
22. MiniLab_Slides5-6_Pandas_TimeSeries_Energy_DETAILED.ipynb.bin -
22. Pandas Fundamental & Time Series Handling (Description).html -
22. Pandas Fundamental & Time Series Handling.mp4 -
22. Slides5-6_Pandas_TimeSeries_Command_Reference_and_Practice.xlsx -
22. Slides5-6_Pandas_and_TimeSeries_Deep_Handbook.pdf -
22. Slides5-6_Quiz_Pandas_TimeSeries_for_Energy_with_Solutions.pdf -
22. sample_energy_dataset_hourly_1year.csv -
23. Data Cleaning &Feature Engineering (Description).html -
23. Data Cleaning &Feature Engineering.mp4 -
23. Data_Quality_Report_Template_Energy.xlsx -
23. Feature_Engineering_Catalog_and_Planner_Energy.xlsx -
23. MiniLab_Slides7-8_Cleaning_and_Feature_Engineering_Energy_END2END.ipynb.bin -
23. Slides7-8_Data_Cleaning_and_Feature_Engineering_DEEP_Handbook.pdf -
23. Slides7-8_Quiz_Cleaning_and_Features_Energy_with_Solutions.pdf -
23. practice_cumulative_meter_with_rollover.csv -
23. practice_energy_interval_dataset_dirty.csv -
24. MiniLab_Time_Aware_Splits_Energy_3_Methods.ipynb.bin -
24. Time_Aware_Split_Planner_and_Leakage_Checklist.xlsx -
24. Time_Aware_Split_Quiz_with_Solutions.pdf -
24. Time_Aware_Validation_Playbook_Energy.pdf -
24. Train Test Split (Description).html -
24. Train Test Split.mp4 -
24. practice_timeseries_regime_change_hourly.csv -
25. Critical Learning & Best practices (Description).html -
25. Critical Learning & Best practices.mp4 -
25. Module3_MiniProject_7Day_Roadmap.pdf -
25. Module3_Production_Readiness_Checklist.xlsx -
25. Module3_Resource_Pack_Key_Takeaways_Next_Steps.txt -
25. Module3_WrapUp_Handbook_Key_Takeaways_and_Next_Steps.pdf -
25. Module3_WrapUp_Quiz_with_Solutions.pdf -
26. 4-Machine Learning Foundations for Engineers.pdf -
26. Introduction Machine Learning (Description).html -
26. Introduction Machine Learning.mp4 -
26. MiniLab_Module4_ML_Foundations_Regression_Classification_Validation.ipynb.bin -
26. Module4_Bias_Variance_Overfit_Worksheet.xlsx -
26. Module4_ML_Foundations_Quiz_with_Solutions.pdf -
26. Module4_ML_Foundations_for_Engineers_DEEP_Handbook (1).pdf -
26. Module4_ML_Foundations_for_Engineers_DEEP_Handbook.pdf -
26. Module4_Model_Selection_and_Metrics_Cheat_Sheet.pdf -
26. practice_engineering_ml_foundations_dataset.csv -
27. MiniLab_Supervised_vs_Unsupervised_Energy.ipynb.bin -
27. Supervised & Unsupervised Learning (Description).html -
27. Supervised & Unsupervised Learning.mp4 -
27. Supervised_vs_Unsupervised_Energy_Engineering_Deep_Handout.pdf -
27. Supervised_vs_Unsupervised_Paradigm_Selection_Matrix.xlsx -
27. Supervised_vs_Unsupervised_Quiz_with_Solutions.pdf -
27. Suppervised vs unsuppervised.png -
27. practice_supervised_unsupervised_energy_dataset.csv -
28. MiniLab_Regression_vs_Classification_Wind_Energy.ipynb.bin -
28. Regression Vs Classification (Description).html -
28. Regression Vs Classification.mp4 -
28. Regression vs Clustring.png -
28. Regression_Classification_Metrics_Calculator.xlsx -
28. Regression_vs_Classification_Energy_Engineering_Deep_Handout.pdf -
28. Regression_vs_Classification_Quiz_with_Solutions.pdf -
28. practice_regression_classification_wind_energy_dataset.csv -
29. Hands on Supervised and Unsupervised Learning Loading Data (Description).html -
29. Hands on Supervised and Unsupervised Learning Loading Data.mp4 -
30. Hands on Supervised and Unsupervised Learning-Supervised Regression.mp4 -
31. Hands on Supervised and Usupervised Learning -Supervised Classification.mp4 -
32. Hands on Supervised and Unsupervised Learning - Unsupervised Clustring.mp4 -
33. Learning_Curves_Diagnosis_Workbook.xlsx -
33. MiniLab_Overfitting_Underfitting_Learning_Curves.ipynb.bin -
33. Overfitting Underfitting (Description).html -
33. Overfitting Underfitting.mp4 -
33. Overfitting_Underfitting_Quiz_with_Solutions.pdf -
33. Overfitting_vs_Underfitting_Deep_Handout_Energy_Engineering.pdf -
33. practice_overfit_underfit_energy_dataset.csv -
34. Cross_Validation_Planner_and_GoNoGo.xlsx -
34. MiniLab_Model_Validation_CrossValidation_Metrics.ipynb.bin -
34. Model Validation Principles (Description).html -
34. Model Validation Principles.mp4 -
34. Model_Validation_Principles_Deep_Handout.pdf -
34. Model_Validation_Principles_Quiz_with_Solutions.pdf -
34. practice_model_validation_quality_control_dataset.csv -
35. MiniLab_TimeAware_Validation_KFold_vs_TimeSeriesSplit.ipynb.bin -
35. Time Aware Validation Why Standard Cv Fails (Description).html -
35. Time Aware Validation Why Standard Cv Fails.mp4 -
35. TimeSeries_Validation_Planner.xlsx -
35. Time_Aware_Validation_Deep_Handout.pdf -
35. Time_Aware_Validation_Quiz_with_Solutions.pdf -
35. practice_time_aware_validation_load_forecasting_dataset.csv -
36. Bias -variance -tradeoff.png -
36. Bias Variance Trade Off (Description).html -
36. Bias Variance Trade Off.mp4 -
36. Bias and variance in detail.pdf -
36. Bias_Variance_Tradeoff_Deep_Handout_Energy_Engineering.pdf -
36. Bias_Variance_Tradeoff_Quiz_with_Solutions.pdf -
36. Bias_Variance_Tuning_Worksheet.xlsx -
36. MiniLab_Bias_Variance_Tradeoff.ipynb.bin -
36. practice_bias_variance_tradeoff_dataset.csv -
37. MiniLab_WalkForward_Validation_TimeSeriesSplit.ipynb.bin -
37. Time Aware Validation Walk Forward Validation (Description).html -
37. Time Aware Validation Walk Forward Validation.mp4 -
37. Time_Series_Validation.pdf -
37. WalkForward_Validation_Planner.xlsx -
37. Walk_Forward_Validation_Deep_Handout.pdf -
37. Walk_Forward_Validation_Quiz_with_Solutions.pdf -
37. practice_walk_forward_validation_solar_forecasting_dataset.csv -
38. Energy Systems Practical Consideration (Description).html -
38. Energy Systems Practical Consideration.mp4 -
38. Energy_Forecasting_Features_and_Peak_Metrics_Workbook.xlsx -
38. Energy_Forecasting_Practical_Considerations_Deep_Handout.pdf -
38. Energy_Forecasting_Practical_Considerations_Quiz_with_Solutions.pdf -
38. MiniLab_Energy_Forecasting_Practical_Considerations.ipynb.bin -
38. practice_energy_forecasting_practical_considerations_dataset.csv -
39. Module4_Engineering_Validation_and_Leakage_Checklist.xlsx -
39. Module4_WrapUp_ML_Decision_Tree.pdf -
39. Module4_WrapUp_Mini_Exercise_with_Solutions.pdf -
39. Module4_WrapUp_Six_Key_Takeaways_OnePager.pdf -
39. Summary And Keys Takeways (Description).html -
39. Summary And Keys Takeways.mp4 -
40. 5-Predictive Modeling for Energy - Module 5.pdf -
40. Introduction And Learning Path (Description).html -
40. Introduction And Learning Path.mp4 -
40. MiniLab_Module5_Predictive_Modeling_for_Energy.ipynb.bin -
40. Module5_Feature_Selection_and_Model_Comparison_Workbook.xlsx -
40. Module5_Predictive_Modeling_for_Energy_DEEP_Handbook.pdf -
40. Module5_Predictive_Modeling_for_Energy_Quiz_with_Solutions.pdf -
40. practice_module5_predictive_modeling_energy_dataset.csv -
41. Building_Energy_Prediction_Business_Value_Calculator.xlsx -
41. Problem_Definition_Building_Energy_Prediction_Canvas_and_Case.pdf -
41. Why Predicting Building Energy (Description).html -
41. Why Predicting Building Energy.mp4 -
42. Feature Selection Strategy (Description).html -
42. Feature Selection Strategy.mp4 -
42. Feature_Inventory_Selection_Matrix_Slide4_Premium.xlsx -
42. Feature_Selection_Playbook_Buildings_Premium.pdf -
42. MiniLab_Slide4_Feature_Selection_Strategy_Premium.ipynb.bin -
43. Linear Regression Establishing The Baseline (Description).html -
43. Linear Regression Establishing The Baseline.mp4 -
43. Linear_Regression_Baseline_Handbook_Energy.pdf -
43. Linear_Regression_Baseline_Quiz_with_Solutions.pdf -
43. Linear_Regression_Coefficient_and_Assumptions_Workbook.xlsx -
43. MiniLab_Slide5_Linear_Regression_Baseline_Energy.ipynb.bin -
44. Coefficient_Interpretation_Physical_Meaning_Deep_Handout.pdf -
44. Coefficient_Interpretation_Quiz_with_Solutions.pdf -
44. Coefficient_Interpretation_Workbook_Premium.xlsx -
44. Interpreting Coefficiencts Physical Meaning (Description).html -
44. Interpreting Coefficiencts Physical Meaning.mp4 -
44. MiniLab_Slide6_Coefficient_Interpretation_Physical_Meaning.ipynb.bin -
44. practice_module5_predictive_modeling_energy_dataset.csv -
45. MiniLab_Slide7_Random_Forest_Energy.ipynb.bin -
45. Random Forest Capturing Non-Linear Patterns (Description).html -
45. Random Forest Capturing Non-Linear Patterns.mp4 -
45. Random_Forest_Energy_Prediction_Deep_Handbook.pdf -
45. Random_Forest_Energy_Quiz_with_Solutions.pdf -
45. Random_Forest_Tuning_and_Evaluation_Workbook.xlsx -
45. practice_random_forest_energy_dataset.csv -
46. Model Comparison RMSE and R² Metrics (Description).html -
46. Model Comparison RMSE and R² Metrics.mp4 -
46. Slide8_Evaluation_Dashboard.xlsx -
46. Slide8_Metrics_CheatSheet.pdf -
46. Slide8_MiniLab_Model_Comparison.ipynb.bin -
46. Slide8_Model_Comparison_Quiz_with_Solutions.pdf -
46. Slide8_Model_Selection_Decision_Guide.pdf -
46. Slide8_Practice_Model_Comparison_Dataset.csv -
46. Slide8_Python_Evaluation_Template.pdf -
47. Hands On Predective Modeling.mp4 -
48. Hands On Predictive Modeling Part 2.mp4 -
49. Hands On predictive Modeling Part 3.mp4 -
50. Hands On Predictive Modeling Part 4.mp4 -
51. Hands on Predictive Modeling Part 5.mp4 -
52. Hands On Predictive Modeling Part 6.mp4 -
53. Hands On Predictive Modeling Part 7.mp4 -
54. Hands On Predictive Modeling Part 8.mp4 -
55. Hands On Predictive Modeling Part9.mp4 -
56. Residual Analysis Diagnosing Model Performance (Description).html -
56. Residual Analysis Diagnosing Model Performance.mp4 -
56. Slide9_MiniLab_Residual_Analysis.ipynb.bin -
56. Slide9_Practice_Residual_Analysis_Dataset.csv -
56. Slide9_Residual_Analysis_Dashboard.xlsx -
56. Slide9_Residual_Analysis_Deep_Handbook.pdf -
56. Slide9_Residual_Analysis_Quiz_with_Solutions.pdf -
56. Slide9_Residual_Patterns_Cheat_Sheet.pdf -
57. Model Robustness Cross-Validation & Generalization (Description).html -
57. Model Robustness Cross-Validation & Generalization.mp4 -
57. Practice_Robustness_CV_Generalization_Dataset.csv -
57. Slide10_CV_Robustness_Cheat_Sheet.pdf -
57. Slide10_MiniLab_Robustness_CrossValidation.ipynb.bin -
57. Slide10_Model_Robustness_Deep_Handbook.pdf -
57. Slide10_Robustness_CV_Generalization_Dashboard.xlsx -
57. Slide10_Robustness_CV_Quiz_with_Solutions.pdf -
58. Key Takeaways & Implementation Roadmap.mp4 -
58. Slide11_Implementation_Roadmap_and_Deployment_Checklist (1).xlsx -
58. Slide11_Implementation_Roadmap_and_Deployment_Checklist.xlsx -
59. 1-MiniLab_Monitoring_Setup.ipynb.bin -
59. 1-Monitoring_Blueprint_KPI_Catalog_and_Runbooks.xlsx -
59. 1-Quiz1_with_Solutions.pdf -
59. 10_Complete_Key_Takeaways_Deep_Handbook.pdf -
59. 10_Final_Quiz_with_Solutions.pdf -
59. 10_Production_Readiness_Checklist.pdf -
59. 10_Summary_Capstone_Implementation_Planner.xlsx -
59. 1_Monitoring_Learning_Path_Deep_Handbook.pdf -
59. 1_Monitoring_Lifecycle_Cheat_Sheet.pdf -
59. 2_MiniLab_Streaming_Monitoring_Starter.ipynb.bin -
59. 2_Monitoring_Architecture_Planner.xlsx -
59. 2_Paradigm_Shift_Cheat_Sheet.pdf -
59. 2_Prediction_to_Monitoring_Deep_Handbook.pdf -
59. 2_Prediction_to_Monitoring_Quiz_with_Solutions.pdf -
59. 3_AE_Residuals_Cheat_Sheet.pdf -
59. 3_AE_Residuals_Functions.py -
59. 3_AE_Residuals_Quiz_with_Solutions.pdf -
59. 3_AE_Threshold_Planner_and_Alert_Budget.xlsx -
59. 3_Full_Dataset_AE_Residuals.csv -
59. 3_MiniLab_Autoencoder_Residual_Anomaly_Detection.ipynb.bin -
59. 3_Residual_Based_Anomaly_Detection_Deep_Handbook.pdf -
59. 3_Test_Mixed_AE_Residuals.csv -
59. 3_Train_Normal_AE_Residuals.csv -
59. 4_IsolationForest_Functions.py -
59. 4_IsolationForest_Pipeline_Practice_Dataset.csv -
59. 4_Isolation_Forest_Cheat_Sheet.pdf -
59. 4_Isolation_Forest_Deep_Handbook.pdf -
59. 4_Isolation_Forest_Quiz_with_Solutions.pdf -
59. 4_MiniLab_Isolation_Forest_Anomaly_Detection.ipynb.bin -
59. 5_Contamination_Selection_Deep_Handbook.pdf -
59. 5_Contamination_Tuning_Cheat_Sheet.pdf -
59. 5_Contamination_Tuning_Functions.py -
59. 5_Contamination_Tuning_Planner_and_Alert_Budget.xlsx -
59. 5_Contamination_Tuning_Quiz_with_Solutions.pdf -
59. 5_MiniLab_Contamination_Selection.ipynb.bin -
59. 5_MiniLab_SPC_Charts_and_Western_Electric_Rules.ipynb.bin -
59. 6_Drift_Detection_Cheat_Sheet.pdf -
59. 6_Drift_Detection_Deep_Handbook.pdf -
59. 6_Drift_Detection_Functions.py -
59. 6_Drift_Detection_Quiz_with_Solutions.pdf -
59. 6_Drift_RollingKPI_Practice_Dataset.csv -
59. 6_MiniLab_Drift_Detection_Rolling_KPIs.ipynb.bin -
59. 6_RollingKPI_Drift_Dashboard_and_Runbook.xlsx -
59. 7_Contamination_Tuning_Practice_Dataset.csv -
59. 7_SPC_Cheat_Sheet.pdf -
59. 7_SPC_Dashboard_Capability_and_Rule_Log.xlsx -
59. 7_SPC_Deep_Handbook.pdf -
59. 7_SPC_Functions_and_Western_Electric_Rules.py -
59. 7_SPC_Quiz_with_Solutions.pdf -
59. 7_SPC_Raw_TabletPress_Stream.csv -
59. 7_SPC_Rolling_KPI_Hourly.csv -
59. 7_SPC_Subgroup_XbarR_Table.csv -
59. 8_MiniLab_SHAP_Explainability_Energy.ipynb.bin -
59. 8_SHAP_Cheat_Sheet.pdf -
59. 8_SHAP_Deep_Handbook.pdf -
59. 8_SHAP_Operator_Templates_and_Governance.py -
59. 8_SHAP_Practice_Energy_Dataset.csv -
59. 8_SHAP_Quiz_with_Solutions.pdf -
59. 9_Anomaly_Operations_Runbook_and_WorkOrder_Templates.xlsx -
59. 9_MiniLab_Operational_Anomaly_Triage_and_Runbooks.ipynb.bin -
59. 9_Operationalizing_Anomalies_Cheat_Sheet.pdf -
59. 9_Operationalizing_Anomalies_Deep_Handbook.pdf -
59. 9_Operationalizing_Anomalies_Practice_Alerts.csv -
59. 9_Operationalizing_Anomalies_Quiz_with_Solutions.pdf -
59. Advanced Monitoring Techniques in Industrial AI (Description).html -
59. Advanced Monitoring Techniques in Industrial AI.mp4 -
Bonus Resources.txt -
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180 bytes
1. 1-1Intrioduction.pdf -
15.2 MB
1. 1-AI for Energy Efficiency_ From Traditional Audits to Data-Driven Optimization.pdf -
383.8 KB
1. Coursera_Premium_Learning_Roadmap_Tracker.pdf -
3.9 KB
1. Introduction (Description).html -
952 bytes
1. Introduction.mp4 -
28.0 MB
1. Slide1.PNG -
530.8 KB
2. Energy Challenges (Description).html -
1.9 KB
2. Energy Challenges.mp4 -
41.2 MB
2. SPM_version_report_LR.pdf -
799.3 KB
2. Slide2.PNG -
94.4 KB
2. Slide3.PNG -
109.8 KB
2. Slide4.PNG -
139.2 KB
3. From Energy 1.0 to Energy 4.0 (Description).html -
725 bytes
3. From Energy 1.0 to Energy 4.0.mp4 -
40.4 MB
4. Energy_Data_Dictionary_Template.xlsx -
5.9 KB
4. Energy_Metering_Math_Cheat_Sheet.pdf -
3.0 KB
4. Industrial_Telemetry_Mapping_One_Pager.pdf -
3.2 KB
4. Slide5.PNG -
92.4 KB
4. Slide6.PNG -
114.4 KB
4. Traditional_vs_AI_Energy_Analytics_Comparison.pdf -
2.5 KB
4. Why AI For Energy (Description).html -
1.8 KB
4. Why AI For Energy.mp4 -
51.4 MB
5. AI_Use_Case_Cards_Energy.pdf -
7.1 KB
5. Anomaly_Detection_Quickstart_Playbook.pdf -
3.1 KB
5. Audit_Limits_to_AI_Fix_One_Pager.pdf -
2.8 KB
5. Energy_Engineer_Skill_Matrix.xlsx -
8.8 KB
5. Limitation Of Energy Audit (Description).html -
4.0 KB
5. Limitation Of Energy Audit.mp4 -
54.8 MB
5. MV_Mini_Guide_IPMVP_Style.pdf -
3.5 KB
5. Peak_and_Demand_Charges_Explainer.pdf -
3.0 KB
5. Savings_Persistence_Checklist.pdf -
2.5 KB
5. Slide10.PNG -
214.4 KB
5. Slide7.PNG -
123.5 KB
5. Slide8.PNG -
129.7 KB
5. Slide9.PNG -
74.2 KB
5. Tool_Stack_Cheat_Sheet.pdf -
2.5 KB
5. _Energy_4_0_Career_Roadmap.pdf -
2.7 KB
6. AI_energy_prediction_template 2.xlsx -
28.8 KB
6. Real Example of AI in DATA (Description).html -
1.2 KB
6. Real Example of AI in DATA.mp4 -
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59. 7_SPC_Subgroup_XbarR_Table.csv -
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59. 8_MiniLab_SHAP_Explainability_Energy.ipynb.bin -
4.5 KB
59. 8_SHAP_Cheat_Sheet.pdf -
2.7 KB
59. 8_SHAP_Deep_Handbook.pdf -
3.1 KB
59. 8_SHAP_Operator_Templates_and_Governance.py -
1.4 KB
59. 8_SHAP_Practice_Energy_Dataset.csv -
291.9 KB
59. 8_SHAP_Quiz_with_Solutions.pdf -
3.7 KB
59. 9_Anomaly_Operations_Runbook_and_WorkOrder_Templates.xlsx -
16.0 KB
59. 9_MiniLab_Operational_Anomaly_Triage_and_Runbooks.ipynb.bin -
3.7 KB
59. 9_Operationalizing_Anomalies_Cheat_Sheet.pdf -
2.9 KB
59. 9_Operationalizing_Anomalies_Deep_Handbook.pdf -
3.3 KB
59. 9_Operationalizing_Anomalies_Practice_Alerts.csv -
797.8 KB
59. 9_Operationalizing_Anomalies_Quiz_with_Solutions.pdf -
3.6 KB
59. Advanced Monitoring Techniques in Industrial AI (Description).html -
9.4 KB
59. Advanced Monitoring Techniques in Industrial AI.mp4 -
238.9 MB
Bonus Resources.txt -
70 bytes
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