Tackling climate change with machine learning
Climate change is one of the greatest challenges facing humanity, and we, as machine
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
learning (ML) experts, may wonder how we can help. Here we describe how ML can be a …
Using feedback through digital technology to disrupt and change habitual behavior: A critical review of current literature
Habitual behavior is often hard to change because of a lack of self-monitoring skills. Digital
technologies offer an unprecedented chance to facilitate self-monitoring by delivering …
technologies offer an unprecedented chance to facilitate self-monitoring by delivering …
Security and privacy in decentralized energy trading through multi-signatures, blockchain and anonymous messaging streams
NZ Aitzhan, D Svetinovic - IEEE transactions on dependable …, 2016 - ieeexplore.ieee.org
Smart grids equipped with bi-directional communication flow are expected to provide more
sophisticated consumption monitoring and energy trading. However, the issues related to …
sophisticated consumption monitoring and energy trading. However, the issues related to …
Putting the'smarts' into the smart grid: a grand challenge for artificial intelligence
Putting the 'smarts' into the smart grid: a grand challenge for artificial
intelligence Page 1 86 communicationS of the acm | april 2012 | vol. 55 | no. 4 review …
intelligence Page 1 86 communicationS of the acm | april 2012 | vol. 55 | no. 4 review …
Energy management systems: state of the art and emerging trends
The electric grid is radically evolving and transforming into the smart grid, which is
characterized by improved energy efficiency and manageability of available resources …
characterized by improved energy efficiency and manageability of available resources …
[HTML][HTML] The effectiveness of energy feedback for conservation and peak demand: a literature review
V Desley, B Laurie, M Peter - Open Journal of Energy Efficiency, 2013 - scirp.org
This paper reviews electricity consumption feedback literature to explore the potential of
electricity feedback to affect residential consumers' electricity usage patterns. The review …
electricity feedback to affect residential consumers' electricity usage patterns. The review …
How can we tackle energy efficiency in IoT based smart buildings?
Nowadays, buildings are increasingly expected to meet higher and more complex
performance requirements. Among these requirements, energy efficiency is recognized as …
performance requirements. Among these requirements, energy efficiency is recognized as …
User‐centric smart buildings for energy sustainable smart cities
Over six billion people are expected to live in cities and surrounding regions by 2050.
Consequently, in the near future, the autonomic and smart operation of cities may be a …
Consequently, in the near future, the autonomic and smart operation of cities may be a …
Information, timing, and display: A design-behavior framework for improving the effectiveness of eco-feedback
A Sanguinetti, K Dombrovski, S Sikand - Energy Research & Social Science, 2018 - Elsevier
Eco-feedback is information about resource (energy, water, food) consumption provided
back to consumer (s) with the goal of promoting more sustainable behavior. Effective eco …
back to consumer (s) with the goal of promoting more sustainable behavior. Effective eco …
A review of wireless-sensor-network-enabled building energy management systems
Reducing energy consumption within buildings has been an active area of research in the
past decade; more recently, there has been an increased influx of activity, motivated by a …
past decade; more recently, there has been an increased influx of activity, motivated by a …