output
20082026
most citedDevelopment of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

60 citations

Showing 2021Show all

6 papers · 1 filter

physics.ao-ph2021

Graph-based Local Climate Classification in Iran

Neda Akrami, Koorush Ziarati, Soumyabrata Dev

In this paper, we introduce a novel graph-based method to classify the regions with similar climate in a local area. We refer our proposed method as Graph Partition Based Method (G…

cs.CV2021★ 11 cited

Optimising Knee Injury Detection with Spatial Attention and Validating Localisation Ability

Niamh Belton, Ivan Welaratne, Adil Dahlan +4

This work employs a pre-trained, multi-view Convolutional Neural Network (CNN) with a spatial attention block to optimise knee injury detection. An open-source Magnetic Resonance I…

cs.DB2021

Ontology Modeling for Decentralized Household Energy Systems

Jiantao Wu, Fabrizio Orlandi, Tarek AlSkaif +2

In a decentralized household energy system consisting of various devices such as washing machines, heat pumps, and solar panels, understanding the electric energy consumption and p…

cs.CR2021★ 2 cited

Is Downloading this App Consistent with my Values? Conceptualizing a Value-Centered Privacy Assistant

Sarah E. Carter

Digital privacy notices aim to provide users with information to make informed decisions. They are, however, fraught with difficulties. Instead, I propose that data privacy decisio…

cs.LG2021★ 60 cited

Development of a Soft Actor Critic Deep Reinforcement Learning Approach for Harnessing Energy Flexibility in a Large Office Building

Anjukan Kathirgamanathan, Eleni Mangina, Donal P. Finn

This research is concerned with the novel application and investigation of `Soft Actor Critic' (SAC) based Deep Reinforcement Learning (DRL) to control the cooling setpoint (and he…

eess.SP2021★ 1 cited

Validating Clustering Frameworks for Electric Load Demand Profiles

Mayank Jain, Tarek AlSkaif, Soumyabrata Dev

Large-scale deployment of smart meters has made it possible to collect sufficient and high-resolution data of residential electric demand profiles. Clustering analysis of these pro…