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PowerNet: Neural Power Demand Forecasting in Smart Grid [article]

Yao Cheng, Chang Xu, Daisuke Mashima, Vrizlynn L. L. Thing, Yongdong Wu
2019 arXiv   pre-print
Power demand forecasting is a critical task for achieving efficiency and reliability in power grid operation.  ...  , for the power demand forecasting task.  ...  Compared to the traditional power grid, entities in smart grids are able to obtain timely power grid status of many kinds.  ... 
arXiv:1904.11979v1 fatcat:fwcp47yo3ndo7f7ff7c5bci64y

PowerNet: a smart energy forecasting architecture based on neural networks

Yao Cheng, Chang Xu, Daisuke Mashima, Partha P. Biswas, Geetanjali Chipurupalli, Bin Zhou, Yongdong Wu
2020 IET Smart Cities  
Electricity demand forecasting is a critical task for efficient, reliable and economical operation of the power grid, which is one of the most essential building blocks of smart cities.  ...  PowerNet demonstrates notable performance in reducing both the median and worst-case prediction errors when forecasting demands of individual residential households.  ...  Compared to the traditional power grid, entities in the smart grid are able to obtain timely power grid status of many kinds.  ... 
doi:10.1049/iet-smc.2020.0003 fatcat:u7wo6jl5u5djrncx6nkphar5im

List of Papers

2020 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)  
Socorro Garcia-Cascales; Angel Molina-Garcia* 1317 Forecasting Refrigerators Consumption to Support their Aggregated Participation in Demand Response Pedro Faria*; Aria Jozi; Zita Vale 1318 A Neural Adaptive  ...  networks for intraday grid load forecasting Nouha Dkhili; Julien Eynard; Stéphane Thil; Stéphane Grieu* 1165 Particle Swarm Optimization of PI Controllers in Grid-Connected PV Conversion Cascade  ... 
doi:10.1109/eeeic/icpseurope49358.2020.9160803 fatcat:wkkfts4cqvcgnd6mqfqki3rdw4

Table of Contents

2022 IEEE Transactions on Power Systems  
Du 955 Event-Triggered Mechanism for Multiple Frequency Services of Electric Vehicles in Smart Grids . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .  ...  Wei 1139 Support Matrix Regression for Learning Power Flow in Distribution Grid With Unobservability . . . . . . . . . . . . . . . . . . . . . .  ... 
doi:10.1109/tpwrs.2022.3150674 fatcat:5qig63q4qjf4pieu5e4sb675mm

A Systems Thinking Approach to identify Leverage Points for Sustainability: A Case Study in the Cat Ba Biosphere Reserve, Vietnam

Nam C. Nguyen, Ockie J. H. Bosch
2012 Systems research and behavioral science  
Rather than starting from the perspective of the existing power grid and seeking to augment it via the use of information technology--the leading perspective in Smart Meter/MicroGrid development--I propose  ...  The ZEN300™ is equipped with its own off-grid zeroemissions power system.  ...  integration of complementary methodologies in order to create new solutions.  ... 
doi:10.1002/sres.2145 fatcat:2gofah363vaq3g43dbepghn4nu