Residential micro-grid load management through artificial neural networks-Reference-Cited by-同舟云学术

Residential micro-grid load management through artificial neural networks

Published:2018-06 Issue: Volume:17 Page:287-298
ISSN:2352-152X
Container-title:Journal of Energy Storage
language:en
Short-container-title:Journal of Energy Storage

Author:

Barelli L.,Bidini G.,Bonucci F.,Ottaviano A.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference46 articles.

1. Large-scale integration of renewable and distributed generation of electricity in Spain: current situation and future needs;Cossent;Energy Policy,2011

2. Costs and benefits of the renewable production of electricity in Spain;Burgos-Payán;Energy Policy,2013

3. Parking the power: strategies and physical limitations for bulk energy storage in supply-demand matching on a grid whose input power is provided by intermittent sources;Pickard;Renew. Sustain. Energy Rev.,2009

4. Challenges in load balance due to renewable energy sources penetration: the possible role of energy storage technologies relative to the Italian case;Barelli;Energy,2015

5. Estimating power plant start costs in cyclic operation;Keatley;Appl. Energy,2013

Cited by 30 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy Management in Residential Microgrid Based on Non-Intrusive Load Monitoring and Internet of Things;Smart Cities;2024-07-23

2. Performance analysis of different control models for smart demand–supply energy management system;Journal of Energy Storage;2024-06

3. Enhancing the Hybrid Microgrid Performance with Jellyfish Optimization for Efficient MPPT and THD Estimation by the Unscented Kalman Filter;International Transactions on Electrical Energy Systems;2023-07-18

4. Prosumer energy management under controllable power transactions with the grid;2023 IEEE International Conference on Environment and Electrical Engineering and 2023 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe);2023-06-06

5. Optimal scheduling of prosumer's battery storage and flexible loads for distribution network support;IET Generation, Transmission & Distribution;2023-02-17