The Big Data revolution promises to transform how we live, work, and think by enabling
process optimization, empowering insight discovery and improving decision making. The …

With the boom in Internet techniques and computer science, a variety of big data have been
introduced into forecasting research, bringing new knowledge and improving prediction …

Electricity load forecasting has been attracting research and industry attention because of its
importance for energy management, infrastructure planning, and budgeting. In recent years …

Load forecasting is essential for energy management, infrastructure planning, grid
operation, and budgeting. Large scale smart meter deployments have resulted in ability to …

Large scale smart meter deployments have resulted in popularization of sensor-based
electricity forecasting which relies on historical sensor data to infer future energy …

The prospering Big data era is emerging in the power grid. Multiple world-wide studies are
emphasizing the big data applications in the microgrid due to the huge amount of produced …

The short-term prediction of air-conditioning (AC) energy consumption is a crucial part of
building operation optimization and demand-response strategies. However, the AC energy …

There is no doubt that we are entering the era of big data. The challenge is on how to store,
search, and analyze the huge amount of data that is being generated per second. One of the …

Purpose This research paper aims at proposing a framework based on semantic integration
in Big Data for saving energy in smart cities. The presented approach highlights the potential …

It is known that training a general and versatile Machine Learning (ML)-based model is more
cost-effective than training several specialized ML-models for different operating contexts …