Sentence examples for hourly consumption from inspiring English sources

The analytical formulas thus obtained describe accurately the hourly consumption of any specific dataset.

Hourly consumption profiles and the expected deviations from the profiles are estimated for different consumer group sizes of different types using automatic meter reading (AMR) data.

Accordingly, six annual hourly consumption variables, reported by Iran's power industry from 2011 to 2017, are predicted using seven dynamic and intelligent models.

The second approximates the hourly consumption of the electrolyzer to the useful power of the wind generation system over the previous hour.

Prior work has attempted to mitigate these problems by using sensor-based machine learning approaches to statistically model energy consumption, applying the techniques primarily to commercial building data, which makes use of hourly consumption data.

The passive behavior of a building, moreover, is not effortlessly synthetized: conditioned buildings may be easily compared just summing the hourly consumption of primary energy, while buildings with no thermal plant need more sophisticated statistical analyses because in these kind of buildings, it is particularly difficult to assess the effect thermal inertia.

Secondly, this paper applies analytics to the half-hourly consumption data of a sample of Ausgrid's interval metered customers, combined with local weather data, to develop an algorithm which can recognize air-conditioner use and can identify consumption patterns and peak load.

In what it calls a "zero touch" energy audit, the company analyzes a year of hourly energy consumption data and provides benchmarks and customized retrofit recommendations.

The CV (coefficient of variation) and MBE (mean bias error) of the total hourly electricity consumption simulation, excluding HVAC, are 4% and 3%, respectively.

Open respirometries were performed in culture raceways during 24 h cycles while fish were growing from 3.2 g up to 165.6 g to determine hourly oxygen consumption rates by mass balance calculations.

A key feature of the model is that it can be used to predict hourly electricity consumption and peak demand at fine geographic scales, which is important for grid planning and designing local energy efficiency or demand response strategies.