Holistic measures for evaluating prediction models in smart grids
The performance of prediction models is often based on “abstract metrics” that estimate the
model's ability to limit residual errors between the observed and predicted values. However …
model's ability to limit residual errors between the observed and predicted values. However …
On the impact of socio-economic factors on power load forecasting
Y Han, X Sha, E Grover-Silva… - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In this paper, we analyze a public dataset of electricity consumption collected over 3,800
households for one year and half. We show that some socio-economic factors are critical …
households for one year and half. We show that some socio-economic factors are critical …
Accurate and efficient selection of the best consumption prediction method in smart grids
Smart grids are becoming popular with the advent of sophisticated smart meters. They allow
utilities to optimize energy consumption during peak hours by applying various demand …
utilities to optimize energy consumption during peak hours by applying various demand …
[PDF][PDF] Empirical comparison of prediction methods for electricity consumption forecasting
Recent years have seen an increasing interest in providing accurate prediction models for
electrical energy consumption. In Smart Grids, energy consumption optimization is critical to …
electrical energy consumption. In Smart Grids, energy consumption optimization is critical to …
Charging and storage infrastructure design for electric vehicles
Ushered by recent developments in various areas of science and technology, modern
energy systems are going to be an inevitable part of our societies. Smart grids are one of …
energy systems are going to be an inevitable part of our societies. Smart grids are one of …
Can smart plugs predict electric power consumption? A case study
A Reinhardt, D Christin, S Kanhere - 11th International Conference on …, 2014 - eudl.eu
Abstract The Internet of Things will encompass a rich variety of sensing systems including
mobile phones, embedded sensor and actuator platforms, and even smart electricity meters …
mobile phones, embedded sensor and actuator platforms, and even smart electricity meters …
A web based energy cloud platform for campus smart grid for understanding energy consumption profile and predicting future energy demand
This paper proposes a web based energy cloud platform framework for analyzing energy
consumption behavior of campus environment, forecasting future energy demand and …
consumption behavior of campus environment, forecasting future energy demand and …
Efficient customer selection for sustainable demand response in smart grids
Regulating the power consumption to avoid peaks in demand is a common practice.
Demand Response (DR) is being used by utility providers to minimize costs or ensure …
Demand Response (DR) is being used by utility providers to minimize costs or ensure …
A bottom-up approach to sustained curtailment and comfort for controlled demand response
Curtailment prediction and efficient demand response (DR) strategy selection challenge the
effectiveness of developing smart grid applications. Here we present solutions to both …
effectiveness of developing smart grid applications. Here we present solutions to both …
Quality of service in distributed stream processing for large scale smart pervasive environments
A Reale - 2014 - amsdottorato.unibo.it
The wide diffusion of cheap, small, and portable sensors integrated in an unprecedented
large variety of devices and the availability of almost ubiquitous Internet connectivity make it …
large variety of devices and the availability of almost ubiquitous Internet connectivity make it …