Sentence examples for energy consumption existing from inspiring English sources

The machine learning model's performance compared and validated with the actual energy consumption, existing artificial neural network model and the mean absolute percentage error and coefficient of variation found 2.416% and 3.290% respectively for yearly prediction.

Table 6 Relative journey times and energy consumption   Journey time Energy consumption Existing rolling stock  Manual driving (0.5 m/s2) – –  ATO (0.75 m/s2) −7%+8%% Higher performance rolling stock  Manual driving (0.5 m/s2) −2%+11%  ATO (0.75 m/s2) −8%+12%% Higher performance rolling stock: 100 km/h maximum speed, 1.3 m/s2 initial acceleration.

Roth et al. ([2005]) reported that such faulty behaviors can account for up to 10% of the total energy consumption in existing buildings during their operational phase.

The simulation results show that the proposed approach performs better in terms of lowering total operation cost and energy consumption than existing solution does.

The purpose of this paper is to examine the overlap between the two topics where BIM offers a platform for reducing energy consumption in existing buildings.

This new device demonstrates the potential of aspiration efficiency as a mechanism of air pollution control offering two notable advantages, (i) no consumable material requirements and (ii) reduced energy consumption, over existing technology.

In this work, energy consumption on existing buildings depends by the degree days (used in this model to normalise the energy consumption on climate data), by the envelope's thermal insulation (related to the period of construction) and by the geometrical shape of buildings.

A new waste heat recovery scheme based on absorption heat pumps (AHP) applied in CHP (Combined Heat and Power) system was proposed to decrease heating energy consumption of existing CHP systems by recovering waste heat of exhausted steam from a steam turbine of a coal-fired direct air cooling unit.

In combination with the efficient transmission of information, neural systems must also be economical in terms of volume and energy consumption, and existing evolved brains are manifestly scalable [21] [23].

The energy consumption of our existing desktop computers was monitored to serve as a benchmark for evaluating the energy consumption of new equipment.

We can observe that our model gives a better approximation of the energy consumption than the existing models.