Hariharan Naganathan
- (2015): Semi-supervised Energy Modeling (SSEM) for Building Clusters Using Machine Learning Techniques. Dans: Procedia Engineering, v. 118 ( 2015).
- (2016): A Non-stationary Analysis Using Ensemble Empirical Mode Decomposition to Detect Anomalies in Building Energy Consumption. Dans: Procedia Engineering, v. 145 ( 2016).
- (2017): Applications of Clustering and Isolation Forest Techniques in Real-Time Building Energy-Consumption Data: Application to LEED Certified Buildings. Dans: Journal of Energy Engineering, v. 143, n. 5 (octobre 2017).
- (2017): Evaluation of state sustainable transportation performances (SSTP) using sustainable indicators. Dans: Sustainable Cities and Society, v. 35 (novembre 2017).
- (2021): Catalysts and Barriers Faced by Native American Engineering Undergraduate Students in Arizona. Dans: Journal of Civil Engineering Education, v. 147, n. 2 (avril 2021).
- (2016): Building energy modeling (BEM) using clustering algorithms and semi-supervised machine learning approaches. Dans: Automation in Construction, v. 72 (décembre 2016).
- (2017): Analyzing the Impact of Outside Temperature on Energy Consumption and Production Patterns in High-Performance Research Buildings in Arizona. Dans: Journal of Architectural Engineering (ASCE), v. 23, n. 3 (septembre 2017).
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