Energy flexibility quantification of grid-responsive buildings: Energy flexibility index and assessment of their effectiveness for applications
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[1] Geert Deconinck,et al. Demand response flexibility and flexibility potential of residential smart appliances: Experiences from large pilot test in Belgium , 2015 .
[2] Chongqing Kang,et al. Optimal Bidding Strategy of Battery Storage in Power Markets Considering Performance-Based Regulation and Battery Cycle Life , 2016, IEEE Transactions on Smart Grid.
[3] Ross Baldick,et al. Dynamic Demand Response Controller Based on Real-Time Retail Price for Residential Buildings , 2014, IEEE Transactions on Smart Grid.
[4] Shengwei Wang,et al. Flexibility categorization, sources, capabilities and technologies for energy-flexible and grid-responsive buildings: State-of-the-art and future perspective , 2020 .
[5] Shengwei Wang,et al. Development of grid-responsive buildings: Opportunities, challenges, capabilities and applications of HVAC systems in non-residential buildings in providing ancillary services by fast demand responses to smart grids , 2019, Applied Energy.
[6] Ankit Jain,et al. 2015 California Demand Response Potential Study - Charting California’s Demand Response Future: Interim Report on Phase 1 Results , 2016 .
[7] Xue Gao,et al. PV-Load Decoupling Based Demand Response Baseline Load Estimation Approach for Residential Customer With Distributed PV System , 2020, IEEE Transactions on Industry Applications.
[8] Jean-Jacques Roux,et al. Peak load reductions: Electric load shifting with mechanical pre-cooling of residential buildings with low thermal mass , 2015 .
[9] P. A. Østergaard,et al. Assessment and evaluation of flexible demand in a Danish future energy scenario , 2014 .
[10] Hanchen Xu,et al. Fundamentals and business model for resource aggregator of demand response in electricity markets , 2020 .
[11] Peng Xu,et al. Quantification of electricity flexibility in demand response: Office building case study , 2019, Energy.
[12] Peter Cappers,et al. Demand Response for Ancillary Services , 2013, IEEE Transactions on Smart Grid.
[13] Cesar A. Silva-Monroy,et al. A comparison of policies on the participation of storage in U.S. frequency regulation markets , 2016, 2016 IEEE Power and Energy Society General Meeting (PESGM).
[14] Zhao Zhen,et al. A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework , 2020 .
[15] Meng Wu,et al. Optimal Participation of Price-Maker Battery Energy Storage Systems in Energy, Reserve and Pay as Performance Regulation Markets , 2019, 2019 North American Power Symposium (NAPS).
[16] Victor M. Zavala,et al. A multi-scale optimization framework for electricity market participation , 2017 .
[17] Christos S. Ioakimidis,et al. Peak shaving and valley filling of power consumption profile in non-residential buildings using an electric vehicle parking lot , 2018 .
[18] Xiaodong Cao,et al. Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade , 2016 .
[19] Sean P. Meyn,et al. Ancillary Service to the Grid Through Control of Fans in Commercial Building HVAC Systems , 2014, IEEE Transactions on Smart Grid.
[20] William Chung,et al. Benchmarking the energy efficiency of commercial buildings , 2006 .
[21] David Fischer,et al. Model-based flexibility assessment of a residential heat pump pool , 2017 .
[22] Pertti Järventausta,et al. Using electrical energy storage in residential buildings – Sizing of battery and photovoltaic panels based on electricity cost optimization , 2019, Applied Energy.
[23] Mohammed H. Albadi,et al. A summary of demand response in electricity markets , 2008 .
[24] William Chung,et al. Review of building energy-use performance benchmarking methodologies , 2011 .
[25] Fei Wang,et al. Smart Households’ Aggregated Capacity Forecasting for Load Aggregators Under Incentive-Based Demand Response Programs , 2020, IEEE Transactions on Industry Applications.
[26] Sila Kiliccote,et al. Field Experience with and Potential for Multi-time Scale Grid Transactions from Responsive Commercial Buildings: , 2014 .
[27] Alice Mugnini,et al. Energy flexible buildings: A methodology for rating the flexibility performance of buildings with electric heating and cooling systems , 2019, Applied Energy.
[28] Fu Xiao,et al. Frequency control of air conditioners in response to real-time dynamic electricity prices in smart grids , 2019, Applied Energy.
[29] Kangping Li,et al. Capacity and output power estimation approach of individual behind-the-meter distributed photovoltaic system for demand response baseline estimation , 2019, Applied Energy.
[30] M. Behrangrad. A review of demand side management business models in the electricity market , 2015 .
[31] Hamidreza Zareipour,et al. Operation Scheduling of Battery Storage Systems in Joint Energy and Ancillary Services Markets , 2017, IEEE Transactions on Sustainable Energy.
[32] Shengwei Wang,et al. A direct load control strategy of centralized air-conditioning systems for building fast demand response to urgent requests of smart grids , 2018 .
[33] Fei Wang,et al. Synchronous Pattern Matching Principle-Based Residential Demand Response Baseline Estimation: Mechanism Analysis and Approach Description , 2018, IEEE Transactions on Smart Grid.
[34] Shengwei Wang,et al. Experimental study on the dynamics, quality and impacts of using variable-speed pumps in buildings for frequency regulation of smart power grids , 2020 .
[35] Li Xiaolei,et al. Using Dimmable Lighting for Regulation Capacity and Non-Spinning Reserves in the Ancillary Services Market. A Feasibility Study. , 2011 .