A quantitative and holistic circular economy assessment framework at the micro level

SG Baratsas, EN Pistikopoulos… - Computers & Chemical …, 2022 - Elsevier
Circular Economy (CE) aims to solve resource, waste, and emission challenges by creating
a production-to-consumption supply chain that is restorative and environmentally benign. A …

Multi-objective development path evolution of new energy vehicle policy driven by big data: From the perspective of economic-ecological-social

Q Liu, X Wen, Q Cao - Applied Energy, 2023 - Elsevier
With the sustainable development of new energy vehicle industry, there are problems of
policy such as unbalanced policy structure, invalid detailed rules, and lack of objectives …

A multiparametric approach to accelerating ReLU neural network based model predictive control

D Kenefake, R Kakodkar, SS Akundi, M Ali… - Control Engineering …, 2024 - Elsevier
Abstract Model Predictive Control (MPC) is a wide spread advanced process control
methodology for optimization based control of multi-input and multi-output processes …

A hybrid statistical and machine learning based forecasting framework for the energy sector

S Baratsas, F Iseri, EN Pistikopoulos - Computers & Chemical Engineering, 2024 - Elsevier
Energy prices are sensitive and volatile due to supply–demand imbalances, policy changes,
new environmental targets, and technological breakthroughs. Energy security, sustainability …

Advancing Industrial Participation in Demand Response within National Electricity Grids through Systematic Asset Selection, Risk Assessment and Modelling …

A Brem - 2022 - sword.cit.ie
Increasing the flexible capacity on national electricity grids will be key to maintain reliable
control as the levels of renewables continue to increase annually. The industrial sector has …

[PDF][PDF] Low Cost Community Microgrids by Efficiency and Reduced Availability.

D Villa, J Quiroz, J Flicker, C Jones - 2022 - osti.gov
The climate crisis currently being faced by humanity is going to increase extreme weather
events which are likely to make long-duration power outages for communities increase in …

Demand Forecasting Using Coupling Of Machine Learning And Time Series Models For The Automotive After Market Sector

AK Sharma, M Kiran, PPS Jeba… - 2021 5th …, 2021 - ieeexplore.ieee.org
Demand forecasting is considered a crucial component for manufacturing companies, as it
directly impacts planning and revenue. This research aims to forecast the demand for …

[CITATION][C] A Novel Forecasting Framework for Energy and a Systems Engineering Methodology towards Circular Economy

S Baratsas - 2021