Exact(1)
Importantly, the electric monitoring system can be practically installed in specific equipment to acquire electric consumption in real time and then helped decision makers to achieve a satisfactory solution in which manufacturing costs and CFL are simultaneously considered under restrain of electricity uncertainty.
Similar(59)
Wind & solar power will never be allowed to generate a substantial portion of the nation's electricity until uncertainty in their power outputs can be addressed.
Inevitably shows lacked the polish and nuance of a fully fledged production – which might do some types of play a disservice – but more often than not, they gained a sense of presence and the electricity of uncertainty.
The Monte Carlo method is used to perform stochastic analyses in order to assess the weight on the cost of electricity of uncertainties on technical and economical aspects.
Agricultural practices (especially soil carbon and nitrogen dynamics), co-product credits from surplus electricity and uncertainties around economic modeling approaches for indirect land use change are the major areas where methodological divergences exist.
This paper mainly focused on designing a building's energy system under demand, costs (like carbon emission cost, primary energy saving…) and prices (like fuel tariff and electricity prices…) uncertainties concerning data insufficiency by means of robust optimization.
"The lack of predictability in the electricity sector creates uncertainty around which generation and network assets investors should either invest in or divest from".
The results indicated that the IMINLP was effective in providing alternative decision bases for electricity planning under uncertainty.
In Fig. 7, Γ c and Γ nl are fixed at 1 and 2, respectively, to ensure the worst-case cooling and net electricity load; the uncertainty set of the thermal load is enlarged by increasing the robustness Γ h from 0 to 1. Table 9 shows the change of operating cost as the robustness budget Γ h increase.
The proposed design attempts to achieve a trade-off between minimizing the monetary cost and minimizing the emission of pollutants in presence of the electrical load as well as electricity market prices uncertainties.
Based on probabilistic results, even under prediction uncertainties, electricity cost saving and ramp-rate reduction is achievable.
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