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Most cited papers from London Hydro

What are the most cited papers from London Hydro?

The most cited paper from London Hydro is "Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network" (Mohammad Navid Fekri, Harsh Patel, Katarina Grolinger et al., 2020), with 387 citations. Next come "Mitigation of Subsynchronous Resonance in a Series-Compensated Wind Farm Using FACTS Controllers" (318) and "Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks" (217).

Showing 31 of 31 papers. Every paper is listed.

Most cited papers, sortable by citations and release date
#Paper
1 Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network Mohammad Navid Fekri, Harsh Patel, Katarina Grolinger et al. · Applied Energy 10 Nov 2020 387
2 Mitigation of Subsynchronous Resonance in a Series-Compensated Wind Farm Using FACTS Controllers Rajiv K. Varma, Soubhik Auddy, Ysni Semsedini · IEEE Transactions on Power Delivery 24 Jun 2008 318
3 Distributed load forecasting using smart meter data: Federated learning with Recurrent Neural Networks Mohammad Navid Fekri, Katarina Grolinger, Syed Hussain Mir · International Journal of Electrical Power & Energy Systems 9 Nov 2021 217
4 Energy Forecasting for Event Venues: Big Data and Prediction Accuracy Katarina Grolinger, Alexandra L’Heureux, Miriam A. M. Capretz et al. · Energy and Buildings Open access 15 Dec 2015 164
5 Load Forecasting Under Concept Drift: Online Ensemble Learning With Recurrent Neural Network and ARIMA Rashpinder Kaur Jagait, Mohammad Navid Fekri, Katarina Grolinger et al. · IEEE Access Open access 2021 120
6 Forecasting Residential Energy Consumption: Single Household Perspective Xiaoou Monica Zhang, Katarina Grolinger, Miriam A. M. Capretz et al. Conference paper Dec 2018 78
7 Novel application of a PV solar plant as STATCOM during night and day in a distribution utility network Rajiv K. Varma, Shriram Srinivasarangan Rangarajan, Iurie Axente et al. Conference paper Mar 2011 55
8 Energy Consumption Prediction with Big Data: Balancing Prediction Accuracy and Computational Resources Katarina Grolinger, Miriam A. M. Capretz, Luke Seewald Conference paper Jun 2016 52
9 Novel control of a PV solar system as STATCOM (PV-STATCOM) for preventing instability of induction motor load Rajiv K. Varma, Shah Arifur Rahman, Vinay Kumar Sharma et al. Conference paper Apr 2012 39
10 Real-Time Digital Simulation of a PV solar system as STATCOM (PV-STATCOM) for voltage regulation and power factor correction Rajiv K. Varma, Ehsan M. Siavashi, Byomakesh Das et al. Conference paper Oct 2012 36
11 Asynchronous adaptive federated learning for distributed load forecasting with smart meter data Mohammad Navid Fekri, Katarina Grolinger, Syed Hussain Mir · International Journal of Electrical Power & Energy Systems Open access 7 Jun 2023 35
12 Blockchain for Collaborative Businesses Augusto R. C. Bedin, Miriam A. M. Capretz, Syed Hussain Mir · Mobile Networks and Applications Open access 9 Oct 2020 35
13 Mitigation of subsynchronous oscillations in a series compensated wind farm with Thyristor Controlled Series Capacitor (TCSC) Rajiv K. Varma, Ysni Semsedini, Soubhik Auddy Conference paper Mar 2007 35
14 Novel application of a PV solar plant as STATCOM (PV-STATCOM) during night and day in a distribution utility network: Part 2 Rajiv K. Varma, Ehsan M. Siavashi, Byomakesh Das et al. Conference paper May 2012 25
15 Ensemble-Based Deep Learning Model for Non-Intrusive Load Monitoring Junfei Wang, Samer El Kababji, Connor Graham et al. Conference paper Oct 2019 21
16 Interval Load Forecasting for Individual Households in the Presence of Electric Vehicle Charging Raiden Skala, Mohamed Ahmed T. A. Elgalhud, Katarina Grolinger et al. · Energies Open access 15 May 2023 18
17 Blockchain-based federated identity and auditing Mahmoud El-Gayyar, Hany F. ElYamany, Katarina Grolinger et al. · International Journal of Blockchains and Cryptocurrencies Open access 2020 17
18 Global PV incentive policies and recommendations for utilities Rajiv K. Varma, Graham Sanderson, Ken Walsh Conference paper May 2011 16
19 Transfer Learning by Similarity Centred Architecture Evolution for Multiple Residential Load Forecasting Santiago Gomez-Rosero, Miriam A. M. Capretz, Syed Hussain Mir · Smart Cities Open access Feb 2021 12
20 Energy slices: benchmarking with time slicing Katarina Grolinger, Hany F. ElYamany, Wilson A. Higashino et al. · Energy Efficiency Open access 13 Dec 2017 12
21 Federated Online Learning for adaptive load forecasting across decentralized nodes Mohamed Ahmed T. A. Elgalhud, Mohammad Navid Fekri, Syed Hussain Mir et al. · International Journal of Electrical Power & Energy Systems Open access 11 Jun 2025 11
22 Determination of maximum PV solar system connectivity in a utility distribution feeder Rajiv K. Varma, Jon Berge, Iurie Axente et al. Conference paper May 2012 9
23 Scheduling Electric Vehicle Charging for Grid Load Balancing Zhixin Han, Katarina Grolinger, Miriam A. M. Capretz et al. Conference paper 16 Oct 2023 7
24 Predicting Residential Energy Consumption Using Wavelet Decomposition With Deep Neural Network Dagimawi D. Eneyew, Miriam A. M. Capretz, Girma Bitsuamlak et al. Conference paper Dec 2020 7
25 A Blockchain Approach to Social Responsibility Augusto R. C. Bedin, Wander Queiroz, Miriam A. M. Capretz et al. · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering Conference paper 2020 5
26 Characterization of harmonics in a utility feeder with PV distributed generation Christine Crites, Rajiv K. Varma, Vinay Kumar Sharma et al. Conference paper Oct 2012 5
27 Energy cost forecasting for event venues Andrea Zagar, Katarina Grolinger, Miriam A. M. Capretz et al. Conference paper Oct 2015 5
28 Deep neural network for load forecasting centred on architecture evolution Santiago Gomez-Rosero, Miriam A. M. Capretz, Syed Hussain Mir Conference paper Dec 2020 4
29 Blockchain-based federated identity and auditing Syed Hussain Mir, Miriam A. M. Capretz, Katarina Grolinger et al. · International Journal of Blockchains and Cryptocurrencies Open access 2020 3
30 A hardware prototype model for electric vehicle load management in a distribution network Robert Zolnierczyk, Byomakesh Das, Rajiv K. Varma et al. Conference paper Oct 2012 1
31 Demand request dispatch approach for electric distribution systems Luke Seewald, Vinay Kumar Sharma Conference paper Aug 2013 0

Citations are OpenAlex's own counts, from its 2026-09-23 snapshot, so the ranking can differ from Google Scholar or Web of Science. A paper is listed for an institution when any of its authors gave it as an affiliation; retracted papers and papers whose citation count cannot be traced to citing works are left out, and a preprint and the article it became are shown once. Release dates are OpenAlex's: where a source gave only a month or a year, that is what is shown. How the lists are chosen.