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 …
Energy management in microgrids using transactive energy control concept under high penetration of Renewables; A survey and case study
Abstract Transactive Energy Control (TEC) paradigm enables involving Microgrids (MGs) in
the energy management procedure to realize the transition of energy systems using market …
the energy management procedure to realize the transition of energy systems using market …
[HTML][HTML] Towards transactive energy systems: An analysis on current trends
This paper presents a comprehensive analysis on the latest advances in transactive energy
systems. The main contribution of this work is centered on the definition of transactive …
systems. The main contribution of this work is centered on the definition of transactive …
Using customer-side resources for market-based transmission and distribution level grid services–A review
AO Abbas, BH Chowdhury - International Journal of Electrical Power & …, 2021 - Elsevier
With the increase in the penetration of renewable energy resources and advances in
metering, communication and edge computing infrastructure, the importance and value of …
metering, communication and edge computing infrastructure, the importance and value of …
[HTML][HTML] Distributed energy trading management for renewable prosumers with HVAC and energy storage
Heating, ventilating, and air-conditioning (HVAC) systems consume a large amount of
energy in residential houses and buildings. Effective energy management of HVAC is a cost …
energy in residential houses and buildings. Effective energy management of HVAC is a cost …
[PDF][PDF] Defining peer-to-peer energy trading, community self-consumption and transactive energy models: Concept definition paper
N Watson, A Gorbatcheva, A Schneiders… - … Paper (September 2 …, 2022 - drive.google.com
Peer-to-peer energy trading (P2P), transactive energy (TE) and community/collective self-
consumption (CSC) models are increasingly viewed as solutions for integrating …
consumption (CSC) models are increasingly viewed as solutions for integrating …
[HTML][HTML] Adaptive machine learning for automated modeling of residential prosumer agents
An efficient participation of prosumers in power system management depends on the quality
of information they can obtain. Prosumers actions can be performed by automated agents …
of information they can obtain. Prosumers actions can be performed by automated agents …
Equity in Transactive Energy Systems
BL Tarufelli, SR Bender - 2022 IEEE PES Transactive Energy …, 2022 - ieeexplore.ieee.org
Transactive energy (TE) research primarily focuses on efficient and reliable operation of the
electricity grid by using economic or market-based constructs to incorporate significant …
electricity grid by using economic or market-based constructs to incorporate significant …
[PDF][PDF] Integrating Transactive Energy and Machine Learning For Re-Energizing Wastewater Treatment Plants
S Somvanshi - 2023 - digital.library.txstate.edu
A large wastewater treatment plant (WWTP) typically consumes 300-500 MWh of electricity
per day and often relies on the grid power generated by burning fossil fuels. Wind-and solar …
per day and often relies on the grid power generated by burning fossil fuels. Wind-and solar …
[PDF][PDF] Energy Strategy Reviews
This paper presents a comprehensive analysis on the latest advances in transactive energy
systems. The main contribution of this work is centered on the definition of transactive …
systems. The main contribution of this work is centered on the definition of transactive …