3D as-is building energy modeling and diagnostics: A review of the state-of-the-art

YK Cho, Y Ham, M Golpavar-Fard - Advanced Engineering Informatics, 2015 - Elsevier
To achieve ambitious cuts in energy consumptions of the building sector, recent efforts have
focused on devising methods that can provide accurate representation of the as-is …

Smart electricity meter data intelligence for future energy systems: A survey

D Alahakoon, X Yu - IEEE transactions on industrial informatics, 2015 - ieeexplore.ieee.org
Smart meters have been deployed in many countries across the world since early 2000s.
The smart meter as a key element for the smart grid is expected to provide economic, social …

Big data analytics for dynamic energy management in smart grids

PD Diamantoulakis, VM Kapinas, GK Karagiannidis - Big Data Research, 2015 - Elsevier
The smart electricity grid enables a two-way flow of power and data between suppliers and
consumers in order to facilitate the power flow optimization in terms of economic efficiency …

An optimal energy management system for islanded microgrids based on multiperiod artificial bee colony combined with Markov chain

M Marzband, F Azarinejadian, M Savaghebi… - IEEE systems …, 2015 - ieeexplore.ieee.org
The optimal operation programming of electrical systems through the minimization of the
production cost and the market clearing price, as well as the better utilization of renewable …

Short-term load forecasting based on big data technologies

P Zhang, X Wu, X Wang, S Bi - CSEE Journal of Power and …, 2015 - ieeexplore.ieee.org
With the construction of smart grid, lots of renewable energy resources such as wind and
solar are deployed in power system. It might make the power system load varied complex …

Efficient secure outsourcing of large-scale linear systems of equations

S Salinas, C Luo, X Chen, P Li - 2015 IEEE Conference on …, 2015 - ieeexplore.ieee.org
Solving large-scale linear systems of equations (LSEs) is one of the most common and
fundamental problems in big data. But such problems are often too expensive to solve for …

Reactive resource provisioning heuristics for dynamic dataflows on cloud infrastructure

AG Kumbhare, Y Simmhan, M Frincu… - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The need for low latency analysis over high-velocity data streams motivates the need for
distributed continuous dataflow systems. Contemporary stream processing systems use …

Prediction models for dynamic demand response: Requirements, challenges, and insights

S Aman, M Frincu, C Chelmis, M Noor… - … on Smart Grid …, 2015 - ieeexplore.ieee.org
As Smart Grids move closer to dynamic curtailment programs, Demand Response (DR)
events will become necessary not only on fixed time intervals and weekdays predetermined …

A framework of service-oriented operation model of China׳ s power system

K Zhou, S Yang - Renewable and Sustainable Energy Reviews, 2015 - Elsevier
Based on the rapid development of smart grid and emerging information technologies in
China, a new cloud-based power system operational model called Cloud Grid (CG) is …

Adaptive, scalable and reliable monitoring of big data on clouds

M Andreolini, M Colajanni, M Pietri, S Tosi - Journal of Parallel and …, 2015 - Elsevier
Real-time monitoring of cloud resources is crucial for a variety of tasks such as performance
analysis, workload management, capacity planning and fault detection. Applications …