Advanced Learning and Optimization Methods for Retail Market Social Benefit Maximization
X Guo - 2024 - unsworks.unsw.edu.au
Modern energy systems are featured by the active participation of energy consumers. Since
electricity rates worldwide keep rising, end-users are encouraged to deploy effective cost …
electricity rates worldwide keep rising, end-users are encouraged to deploy effective cost …
Social information filtering-based electricity retail plan recommender system for smart grid end users
F Luo, G Ranzi, X Wang… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Rapid growth of data in smart grids provides great potentials for the utility to discover
knowledge of demand side and design proper demand side management schemes to …
knowledge of demand side and design proper demand side management schemes to …
[HTML][HTML] User-centric recommendations on energy-efficient appliances in smart grids: A Multi-task learning approach
Deploying energy-efficient appliances is one of the most effective ways to save energy bills
for residents. However, the existing recommender systems for energy-efficient appliances …
for residents. However, the existing recommender systems for energy-efficient appliances …
A data-driven Recommendation Tool for Sustainable Utility Service Bundles
F vom Scheidt, P Staudt - Applied Energy, 2024 - Elsevier
Managers in electric utilities face the disruption of their conventional business model of
selling electricity per kilowatt-hour for invariant prices. However, the forthcoming widespread …
selling electricity per kilowatt-hour for invariant prices. However, the forthcoming widespread …
Household Energy Consumption Analysis-based Electricity Plan Recommender System
P Zhao - 2022 - unsworks.unsw.edu.au
Deregulation of the retail electricity market has led to an increasing number of electricity
plans with competitive rates. Also, the extensive integration of renewable energy resources …
plans with competitive rates. Also, the extensive integration of renewable energy resources …
[HTML][HTML] Federated personalized home BESS recommender system based on neural collaborative filtering
Home battery energy storage systems (HBESSs) has been experiencing an increasingly
popularization and marketing process. This consequentially leads to an information filtering …
popularization and marketing process. This consequentially leads to an information filtering …
Electricity plan recommender system with electrical instruction-based recovery
Several electricity tariffs have emerged for Demand Side Management (DSM) and
residential customers are faced with challenges to choose the plan satisfying their personal …
residential customers are faced with challenges to choose the plan satisfying their personal …
Electricity Plan Recommender System
Several electricity tariffs have emerged for demand side management (DSM), and
residential customers are faced with challenges to choose the plan satisfying their personal …
residential customers are faced with challenges to choose the plan satisfying their personal …
Non‐intrusive energy saving appliance recommender system for smart grid residential users
Demand side management is one of the key topics of smart grids. This study integrates the
service computing paradigm in smart grid domain and proposes a demand side …
service computing paradigm in smart grid domain and proposes a demand side …
Big data-driven electricity plan recommender system
The deregulation of electricity retailing market enables residential customers to select
suitable electricity retailing plans to lower energy expenditures. This paper proposes a …
suitable electricity retailing plans to lower energy expenditures. This paper proposes a …