Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari +2 more
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Smart decision framework for financial planning and investment optimization. [PDF]
Chen X, Shen A.
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We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
wiley +1 more source
Resilient virtual inertia strategy for frequency support of renewable-based microgrids using a variable structure fuzzy PID controller. [PDF]
Abdelghany MA +3 more
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This paper introduces a novel resilience‐based reward‐penalty scheme (RPS) for electricity grids facing high‐impact, low‐probability (HILP) disasters. By modeling the costs of proactive asset immunization against reactive RPS penalties, our analysis conclusively demonstrates that long‐term investment in grid resilience is the more economically rational
Amirhossein Yousefi Joobeni, Reza Dashti
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Enhanced power management in PV-Integrated hybrid energy storage systems using fuzzy 2DOF-PI control optimized by hippopotamus algorithm. [PDF]
Kotb H +3 more
europepmc +1 more source
The growing demand for electric vehicles (EVs) has driven research into improving propulsion control systems, focusing on performance, efficiency, and safety. This study addresses a gap in advanced control systems for EV differentials and presents two solutions.
Rachad Moumni +7 more
wiley +1 more source
An improved sinh cosh optimizer for optimal scheduling of a microgrid with multi-energy resources and storage considering different weather conditions. [PDF]
Ma J, Shen H, Nowdeh SA.
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Hybrid fuzzy machine learning models optimized with meta-heuristics for accurate EEG-based neurological assessment. [PDF]
Lak M +4 more
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A multi-method integrated weighting framework for biosafety risk assessment of infectious substances. [PDF]
Wu F, Li C, Bian Y, Li J, Tian J, Li Z.
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