Multi-sensor data fusion framework for energy optimization in smart homes
NS Dasappa, N Somu - Renewable and Sustainable Energy Reviews, 2024 - Elsevier
Abstract Advancements in Internet of Energy (IoE) technologies drive the development of
several energy efficient frameworks for better energy optimization, economic savings, safety …
several energy efficient frameworks for better energy optimization, economic savings, safety …
Personal Values and Community-Centric Environmental Recommender Systems: Enhancing Sustainability Through User Engagement
BM Deconcini - Proceedings of the 18th ACM Conference on …, 2024 - dl.acm.org
The concept of sustainability has become a central focus across multiple sectors, driven by
the urgent need to address climate change and protect the environment. Technological …
the urgent need to address climate change and protect the environment. Technological …
[PDF][PDF] Elucidating the Relationship Between Climate Change and Poverty using Graph Neural Networks, Ensemble Models, and Remote Sensing Data
P Pengpun, A Salatiello - structure, 2022 - climatechange.ai
Climate and poverty are intrinsically related: regions with extreme temperatures, large
temperature variability, and recurring extreme weather events tend to be ranked among the …
temperature variability, and recurring extreme weather events tend to be ranked among the …
[PDF][PDF] ACTIVITY-BASED RECOMMENDATIONS FOR THE RE-DUCTION OF CO2 EMISSIONS IN PRIVATE HOUSE
A Zharova, L Löschmann - climatechange.ai
This paper proposes an activity prediction framework for a multi-agent recommendation
system to tackle the energy-efficiency problem in residential buildings. Our system …
system to tackle the energy-efficiency problem in residential buildings. Our system …