Results 21 to 30 of about 32,170 (117)

The Wasserstein Metric and Robustness in Risk Management

Risks, 2016
In the aftermath of the financial crisis, it was realized that the mathematical models used for the valuation of financial instruments and the quantification of risk inherent in portfolios consisting of these financial instruments exhibit a substantial ...
Rüdiger Kiesel, Robin Rühlicke, Gerhard Stahl, Jinsong Zheng   +3 more
doaj   +1 more source

Carbon emission and cost of blockchain mining in a case of peer-to-peer energy trading

Frontiers in Built Environment, 2022
Blockchain is an emerging technology that has demonstrated great uptake potential in Peer-to-Peer (P2P) energy trading. The revolution of blockchain brings substantial benefits and innovation to sustainability energy transitions through P2P trading ...
Kevin Coutinho, Pornpit Wongthongtham, Bilal Abu-Salih, Mousa A. Abu Saleh, Mousa A. Abu Saleh, Neeraj Kumari Khairwal   +5 more
doaj   +1 more source

Quantitative analysis of renewable energy consumption promoted by demand-side response based on time-series production simulation

Zhejiang dianli
The integration of high proportions of renewable energy into power systems has led to an increasing demand for flexible resources， highlighting the importance of flexible resources on demand side.
FU Zheng, WANG Feng, WANG Ruoyu, WU Haoliang, LI Haibo, ZHANG Lei   +5 more
doaj   +1 more source

The issues of enhancing the competitiveness of the entrepreneurial sector of Turkmenistan

Путеводитель предпринимателя, 2020
The article had highlighted the increasing role of the state in ensuring of enhancing the competitiveness of the entrepreneurial sector during Turkmenistan’s accession into the WTO.
Y. M. Habyyev
doaj  

Strategy Optimization by Means of Evolutionary Algorithms With Multiple Closing Criteria for Energy Trading

IEEE Open Journal of Industry Applications
The energy markets are experiencing an enhanced volatility and unpredictability due to the growing integration of renewable energy sources in the grid and to the unstable geopolitical situation that is developing worldwide.
Silvia Trimarchi, Fabio Casamatta, Francesco Grimaccia, Marco Lorenzo, Alessandro Niccolai   +4 more
doaj   +1 more source

Automatic P2P Energy Trading Model Based on Reinforcement Learning Using Long Short-Term Delayed Reward

Energies, 2020
Automatic peer-to-peer energy trading can be defined as a Markov decision process and designed using deep reinforcement learning. We consider prosumer as an entity that consumes and produces electric energy with an energy storage system, and define the ...
Jin-Gyeom Kim, Bowon Lee
doaj   +1 more source

Integrated Energy System Optimization Considering EnergyCommunities with Prosumers

Zhongguo dianli, 2023
The rapid development of distributed renewable energy gradually transforms energy users to prosumers. Energy communities coordinate the local energy distribution and help users to trade energy, which provides a new direction for energy systems to improve
Jiguang KANG, Jiehua JU, Yanmin ZHAO, Yutong ZHAO, Xuetao BAI, Yingru ZHAO, Rui JING   +6 more
doaj   +1 more source

Two-Stage Robust Optimization Considering the Uncertainty of Sources and Loads in Virtual Power Plants

IEEE Access
Virtual power plants (VPPs) aggregate controllable distributed power sources, distributed new energy sources, distributed energy storage devices, loads, and other resources.
Shixun Qi, Duo Li, Liyong Hou, Haili Wang, Li Xin, Yaojie Jin, Yuanji Cai, Mingfei Ban   +7 more
doaj   +1 more source

Minimizing Energy Loss over Distance and Activating the Energy Trading System in Microgrid

MATEC Web of Conferences, 2019
As small-scale distributed energy is gradually expanding, commercialization of peer to peer(P2P) energy trading that freely exchanges energy among individuals in various countries is being commercialized, and the Microgrids (MGs) are considered to be an ...
Lee Sang Hyeon, Choi Myeong-in, Lee SangHoon, Park SoungHoan, Park Sehyun   +4 more
doaj   +1 more source

A Blockchain-Based Load Balancing in Decentralized Hybrid P2P Energy Trading Market in Smart Grid

IEEE Access, 2020
Local energy generation and peer to peer (P2P) energy trading in the local market can reduce the energy consumption cost, emission of harmful gases (as renewable energy sources are used to generate energy at user's premises) and increase the smart grid ...
Rabiya Khalid, Nadeem Javaid, Ahmad Almogren, Muhammad Umar Javed, Sakeena Javaid, Mansour Zuair   +5 more
doaj   +1 more source