Synergy of non-thermal plasma and ozonation for enhanced real industrial wastewater treatment. [PDF]
Amani F +3 more
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Multi-strategy enhanced orchard algorithm for optimal integration of renewable energy sources and EV charging stations in microgrids. [PDF]
V K, Thirumalaisamy SK, M M, P N R.
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The potential role of truck-hailing and operational efficiency improvement in China's road freight decarbonization. [PDF]
Xu X +8 more
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AI-enhanced techno-economic and environmental optimization for nearly zero-energy building retrofitting: a case study of university campus. [PDF]
Alobaid M, Abo-Khalil AG, Sayed K.
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Exploring implications of capacity-based electricity pricing for peak demand reduction
Schien, D +6 more
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AbstractResidential appliances remotely controlled by IoT for demand response has attracted much attention for effective peak demand reduction of the uncertainty of consumers’ behaviors. To promote the technology development of such appliances, estimation of the potential for peak demand reduction according to the type of appliances is strongly needed.
Aya Hagishima, Jun Tanimoto
exaly +4 more sources
“Just-for-Peak” buffer inventory for peak electricity demand reduction of manufacturing systems [PDF]
Abstract The reduction of the electricity demand during peak periods is considered a main objective of electricity load management. It can relieve the financial pressure of the investment on the capacity expansion for the power grid in the United States.
Lin Li, Zeyi Sun
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Peak Demand Reduction using Energy Storage System for Demand Response
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, 2019This paper proposes an energy storage system (ESS) management algorithm to reduce the peak electricity consumption for demand response (DR). In a building equipped with an ESS and a photovoltaic generator, the amount of energy charged into the ESS can be used to reduce the peak demand of the following day. The proposed algorithm calculates the feasible
Hannie Zang +3 more
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Predicting peak-demand days in the ontario peak reduction program for large consumers
Proceedings of the 5th international conference on Future energy systems, 2014In this paper, we propose a heuristic algorithm for day-ahead prediction of the top $K$ days having the highest peak hourly demand for electricity over a given year. This problem, which arises in the context of critical peak pricing in Ontario, Canada, is difficult because we may have to wait till the end of the year to find out which $K$ days ended up
Yuheng Helen Jiang +3 more
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