The rise of electric vehicles—2020 status and future expectations
Electric vehicles (EVs) are experiencing a rise in popularity over the past few years as the
technology has matured and costs have declined, and support for clean transportation has …
technology has matured and costs have declined, and support for clean transportation has …
Assessing the value of electric vehicle managed charging: a review of methodologies and results
Driven by technological progress and growing global attention for sustainability, the
adoption of electric vehicles (EVs) is on the rise. Large-scale EV adoption would both disrupt …
adoption of electric vehicles (EVs) is on the rise. Large-scale EV adoption would both disrupt …
[HTML][HTML] Charging infrastructure access and operation to reduce the grid impacts of deep electric vehicle adoption
Electric vehicles will contribute to emissions reductions in the United States, but their
charging may challenge electricity grid operations. We present a data-driven, realistic model …
charging may challenge electricity grid operations. We present a data-driven, realistic model …
Residential load forecasting based on LSTM fusing self-attention mechanism with pooling
Day-ahead residential load forecasting is crucial for electricity dispatch and demand
response in power systems. Electrical loads are characterized by volatility and uncertainty …
response in power systems. Electrical loads are characterized by volatility and uncertainty …
Impact of uncoordinated plug-in electric vehicle charging on residential power demand
M Muratori - Nature Energy, 2018 - nature.com
Electrification of transport offers opportunities to increase energy security, reduce carbon
emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new …
emissions, and improve local air quality. Plug-in electric vehicles (PEVs) are creating new …
A review on peak load shaving strategies
In this study, a significant literature review on peak load shaving strategies has been
presented. The impact of three major strategies for peak load shaving, namely demand side …
presented. The impact of three major strategies for peak load shaving, namely demand side …
Demand response for home energy management using reinforcement learning and artificial neural network
Ever-changing variables in the electricity market require energy management systems
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …
(EMSs) to make optimal real-time decisions adaptively. Demand response (DR) is the latest …
Smart operations of smart grids integrated with distributed generation: A review
S Kakran, S Chanana - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
In last few years, many countries in the world have shown huge interest in smart grid
technology. They are facing many challenges in the process of deployment of this …
technology. They are facing many challenges in the process of deployment of this …
A systematic review of occupant behavior in building energy policy
Buildings play a dominant role in global efforts towards energy consumption reduction,
greenhouse gas (GHG) emission mitigation, as well as global clean energy transition …
greenhouse gas (GHG) emission mitigation, as well as global clean energy transition …
A deep learning method for short-term residential load forecasting in smart grid
Residential demand response is vital for the efficiency of power system. It has attracted
much attention from both academic and industry in recent years. Accurate short-term load …
much attention from both academic and industry in recent years. Accurate short-term load …