Distributed buildings energy storage charging load forecasting method considering parallel deep learning model

[1]  Hongjie Jia,et al.  Energy storage capacity optimization for autonomy microgrid considering CHP and EV scheduling , 2018 .

[2]  Guofa Cai,et al.  Inkjet Printed Large Area Multifunctional Smart Windows , 2017 .

[3]  Pedro J. Mago,et al.  Performance enhancement of a power generation unit–organic Rankine cycle system through the addition of electric energy storage , 2017 .

[4]  Ruzhu Wang,et al.  Thermal energy storage coupled with PV panels for demand side management of industrial building cooling loads , 2017 .

[5]  Liangliang Sun,et al.  Coupled cooling method and application of latent heat thermal energy storage combined with pre-cooling of envelope: Method and model development , 2017 .

[6]  Yonghua Cheng.  Principles of modelling and control of energy sources in hybrid propulsion systems , 2009 .

[7]  Muneeb Dawood,et al.  Demand response in blocks of buildings: opportunities and requirements , 2017 .

[8]  Theodore T. Allen,et al.  K-Means Subject Matter Expert Refined Topic Model Methodology , 2017 .

[9]  Nadeem Javaid,et al.  Demand Side Management in Nearly Zero Energy Buildings Using Heuristic Optimizations , 2017 .

[10]  Jie Xiong,et al.  A novel online incremental and decremental learning algorithm based on variable support vector machine , 2019, Cluster Computing.

[11]  Bo Wen,et al.  Control strategy of automatic charging/discharging of hybrid energy storage systems in DC micro-grid island mode , 2015, 2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).

[12]  Fei Yu,et al.  A Real-Time Dynamic Pricing Algorithm for Smart Grid With Unstable Energy Providers and Malicious Users , 2016, IEEE Internet of Things Journal.

[13]  R. Sherratt,et al.  Adversarial learning for distant supervised relation extraction , 2018 .

[14]  David Fischer,et al.  Comparison of control approaches for variable speed air source heat pumps considering time variable electricity prices and PV , 2017 .

[15]  Cheng Wang,et al.  A Novel Soft-Switching Multiport Bidirectional DC–DC Converter for Hybrid Energy Storage System , 2014, IEEE Transactions on Power Electronics.

[16]  Sunliang Cao,et al.  Approaches to enhance the energy performance of a zero-energy building integrated with a commercial-scale hydrogen fueled zero-energy vehicle under Finnish and German conditions , 2017 .

[17]  Wenzhun Huang,et al.  Two-stage plant species recognition by local mean clustering and Weighted sparse representation classification , 2017, Cluster Computing.

[18]  M. Jarnut,et al.  Comparative analysis of selected energy storage technologies for prosumer-owned microgrids , 2017 .

[19]  Tao Jiang,et al.  Dynamic economic dispatch of a hybrid energy microgrid considering building based virtual energy storage system , 2017 .

[20]  Zhiqiang Gao,et al.  An overview on harmonic elimination , 2015, 2015 IEEE International Conference on Mechatronics and Automation (ICMA).

[21]  Anibal T. de Almeida,et al.  Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings , 2017 .

[22]  Ravikumar Gurusamy,et al.  A Machine Learning Approach for MRI Brain Tumor Classification , 2017 .

[23]  Christian Esposito,et al.  Intelligent Power Equipment Management Based on Distributed Context-Aware Inference in Smart Cities , 2018, IEEE Communications Magazine.

[24]  N. Anantharaman,et al.  Myo-inositol based nano-PCM for solar thermal energy storage , 2017 .

[25]  Theodore T. Allen,et al.  Timely Decision Analysis Enabled by Efficient Social Media Modeling , 2017, Decis. Anal..

[26]  Carlos Álvarez-Bel,et al.  An optimisation algorithm for distributed energy resources management in micro-scale energy hubs , 2017 .

[27]  Li Ruisheng,et al.  Overview of microgrid , 2016 .

[28]  Robert B. Bass,et al.  Calculation of levelized costs of electricity for various electrical energy storage systems , 2017 .