[HTML][HTML] 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 …

Teori Etika Dalam Kecerdasan Buatan (AI)

B Raharjo - Penerbit Yayasan Prima Agus Teknik, 2023 - penerbit.stekom.ac.id
Buku ini membahas implikasi etika dan pertanyaan moral yang muncul dari pengembangan
dan penerapan teknologi kecerdasan buatan (AI). Buku ini juga meninjau pedoman dan …

Ad hoc teamwork by learning teammates' task

FS Melo, A Sardinha - Autonomous Agents and Multi-Agent Systems, 2016 - Springer
This paper addresses the problem of ad hoc teamwork, where a learning agent engages in
a cooperative task with other (unknown) agents. The agent must effectively coordinate with …

Efficient buyer groups with prediction-of-use electricity tariffs

V Robu, M Vinyals, A Rogers… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Current electricity tariffs do not reflect the real costs that a customer incurs to a supplier, as
units are charged at the same rate, regardless of the consumption pattern. In this paper, we …

Consider ethical and social challenges in smart grid research

V Robu, D Flynn, M Andoni, M Mokhtar - Nature Machine Intelligence, 2019 - nature.com
Consider ethical and social challenges in smart grid research | Nature Machine Intelligence
Skip to main content Thank you for visiting nature.com. You are using a browser version …

Customized time-of-use pricing for small-scale consumers using multi-objective particle swarm optimization

A Chrysopoulos, PA Mitkas - Advances in Building Energy …, 2018 - Taylor & Francis
Contemporary electricity markets necessitate balancing supply and demand in real time, as
well as the active involvement of all participating entities in the price-setting procedure. To …

[HTML][HTML] Predicting winning and losing businesses when changing electricity tariffs

R Granell, CJ Axon, DCH Wallom - Applied energy, 2014 - Elsevier
By using smart meters, more data about how businesses use energy is becoming available
to energy retailers (providers). This is enabling innovation in the structure and type of tariffs …

Automated machine learning on big data using stochastic algorithm tuning

T Nickson, MA Osborne, S Reece… - arXiv preprint arXiv …, 2014 - arxiv.org
We introduce a means of automating machine learning (ML) for big data tasks, by
performing scalable stochastic Bayesian optimisation of ML algorithm parameters and hyper …

Assessing the economics of residential electricity tariff selection

F vom Scheidt, P Staudt… - … conference on smart …, 2019 - ieeexplore.ieee.org
As residential customers become a more integral part of the electricity system the
importance of electricity tariffs increases. The widespread adoption of new, economically …

Using the Shapley value for fair consumer compensation in energy demand response programs: comparing algorithms

S Bakr, S Cranefield - … Conference on Data Science and Data …, 2015 - ieeexplore.ieee.org
Integrating information and communication technologies (ICT) in the power grid underpins
sustainable development in the power industry by introducing the" smart grid". ICT …