@misc{13678,
  abstract     = {{The previous methodology for optimizing CO2 emissions and electricity costs in industrial applications is extended by integrating dynamic load shifting with battery energy storage. Building on earlier work that employed Mixed-Integer Linear Programming (MILP) to manage a stationary battery based on real-time electricity prices and CO2 intensity signals, two industrial machines and one electric vehicle (EV) are now incorporated as additional shiftable loads. These new elements introduce further operational constraints while enhancing energy management flexibility. The framework employs an adjustable weighting factor λ to balance environmental impact and cost, and comparative analyses across three scenarios—battery-only, load-shifting-only, and combined—demonstrate nearly additive CO2 reductions alongside non-additive cost improvements, underscoring the synergistic potential for environmental benefits despite diminishing cost returns. Moreover, validation against dynamic programming confirms the MILP approach’s accuracy and computational efficiency.}},
  author       = {{Mousavi, Seyed Davood and Schulte, Thomas}},
  booktitle    = {{2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET)}},
  keywords     = {{Feeds, Antennas, System-on-chip, Application specific integrated circuits, Life cycle assessment, Product lifecycle management, Radio access networks, Regional area networks, Smart devices, OWL}},
  location     = {{Paris, France }},
  publisher    = {{IEEE}},
  title        = {{{Enhanced Dynamic Optimization for CO2 Reduction and Cost Savings through Load Shifting in Smart Factories}}},
  doi          = {{10.1109/icecet63943.2025.11472530}},
  year         = {{2026}},
}

@inproceedings{2376,
  abstract     = {{Wireless industrial environments are dominated by multipath propagation and interference. In order to handle spatial diversity, a possible approach is dividing the physical area into many small cells. The spatial diversity is turned into FDMA by utilizing different frequency bands for neighboring cells. A challenging use case with fast vehicles traveling over long distances in a short time is the packaging industry. It would require many fast handoffs for each vehicle. Thus, a small cell FDMA approach is not appropriate. Conversely, employing radiating lines eliminates FDMA-based handoff issues, and reduces multipath delay spread and signal attenuation compared to centralized approaches. Additionally, radiating lines perform well in high-speed, low-power and long-range environments. In this paper, we realize a novel radiating-line-based, high-reliable, real-time transmission system with near-field coupling. This wireless transmission method results in a frequency-flat, time-invariant radio channel for the given requirements. Employing antenna diversity results in significant improvements in the system's performance compared to single antenna solutions.}},
  author       = {{Fliedner, Niels Hendrik and Meier, Uwe and Neugebauer, Thomas}},
  booktitle    = {{2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA)}},
  isbn         = {{9781538671085}},
  keywords     = {{Spatial diversity, Antenna measurements, Real-time systems, Frequency measurement, Couplings, Antennas}},
  location     = {{ Turin, Italy}},
  publisher    = {{IEEE}},
  title        = {{{Performance Analysis of a High-Reliable Real-Time Wireless Transmission System with Near Field Coupling}}},
  doi          = {{10.1109/etfa.2018.8502494}},
  year         = {{2018}},
}