TY  - JOUR
AU  - Garcia, Amara
AU  - Chen, Deepak
AU  - Nkosi, Reza
AU  - Rahman, Ali
TI  - Multiple Regression Analysis for Municipal Solid Waste Streams: Challenges and Opportunities
JO  - Open Access Journal of Engineering Applications
PY  - 2017
VL  - 41
IS  - 2
SP  - 785
EP  - 798
AB  - Ensuring the safety of metal additive manufacturing requires a detailed understanding of the long-term evolution of municipal solid waste streams. The framework couples multiple regression analysis with an optimisation routine to identify near-optimal designs. Applying the method to 2 real-world sites yielded consistent and reproducible results. Policymakers may draw on these results when prioritising infrastructure investment.
KW  - municipal solid waste streams
KW  - multiple regression analysis
KW  - energy efficiency
KW  - smart grid
KW  - model predictive control
SN  - 3105-7004
DO  - 10.55555/oajea.2017.4102.037
UR  - https://journal.bsaps.com/article/9454
ER  -