Demand Response Flexibility: Forecasts and Expectations for 2030 and 2050

Author:

de São José Débora,Faria Pedro,Vale Zita

Publisher

Springer Nature Switzerland

Reference21 articles.

1. Antonopoulos I, Robu V, Couraud B, Kirli D, Norbu S, Kiprakis A et al (2020) Artificial intelligence and machine learning approaches to energy demand-side response: a systematic review. Renew Sustain Energ Rev 130:10989

2. Austrian Energy Agency—AEA (2020) Survey on existing demand-response (DR) actions and collective actions in the heating and cooling sector and overview of legal and other requirements and challenges

3. de São José D, Faria P, Vale Z (2021) Smart energy community: a systematic review with metanalysis. Energ Strateg Rev 36

4. Dusparic I, Harris C, Marinescu A, Cahill V, Clarke S (2013) Multi-agent residential demand response based on load forecasting. In: 2013 1st IEEE conferences for sustainable development. IEEE, pp 90–6

5. European Commission (2014a) Cost-benefit analysis and state of play of smart metering deployment in the EU-27 Accompanying the document Report from the Commission Benchmarking smart metering deployment in the EU-27 with a focus on electricity

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