Tao Hong : Citation Profile


Are you Tao Hong?

7

H index

7

i10 index

234

Citations

RESEARCH PRODUCTION:

10

Articles

10

Papers

RESEARCH ACTIVITY:

   5 years (2013 - 2018). See details.
   Cites by year: 46
   Journals where Tao Hong has often published
   Relations with other researchers
   Recent citing documents: 106.    Total self citations: 14 (5.65 %)

MORE DETAILS IN:
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   Permalink: http://citec.repec.org/pho580
   Updated: 2019-05-25    RAS profile: 2018-02-15    
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Relations with other researchers


Works with:

Weron, Rafał (4)

Nowotarski, Jakub (4)

Authors registered in RePEc who have co-authored more than one work in the last five years with Tao Hong.

Is cited by:

Weron, Rafał (40)

Nowotarski, Jakub (22)

Marcjasz, Grzegorz (12)

Uniejewski, Bartosz (12)

Fukushige, Mototsugu (8)

Maciejowska, Katarzyna (7)

Müller, Alfred (3)

Grossi, Luigi (3)

Hyndman, Rob (3)

Trotter, Ian (3)

Nan, Fany (3)

Cites to:

Weron, Rafał (27)

Hyndman, Rob (16)

Nowotarski, Jakub (12)

Vahid, Farshid (4)

Granger, Clive (4)

Engle, Robert (4)

Misiorek, Adam (4)

Trueck, Stefan (4)

Ben Taieb, Souhaib (4)

Genre, Veronique (3)

Kenny, Geoff (3)

Main data


Where Tao Hong has published?


Journals with more than one article published# docs
International Journal of Forecasting7

Working Papers Series with more than one paper published# docs
HSC Research Reports / Hugo Steinhaus Center, Wroclaw University of Technology10

Recent works citing Tao Hong (2018 and 2017)


YearTitle of citing document
2018Probabilistic Mid- and Long-Term Electricity Price Forecasting. (2018). Ziel, Florian ; Steinert, Rick. In: Papers. RePEc:arx:papers:1703.10806.

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2017Risk Constrained Trading Strategies for Stochastic Generation with a Single-Price Balancing Market. (2017). Browell, Jethro. In: Papers. RePEc:arx:papers:1708.02625.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Papers. RePEc:arx:papers:1805.06649.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Kath, Christopher ; Ziel, Florian. In: Papers. RePEc:arx:papers:1811.08604.

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2017Are multifractal processes suited to forecasting electricity price volatility? Evidence from Australian intraday data. (2017). Wilfling, Bernd ; Lau, Chi Keung ; GUPTA, RANGAN ; Segnon, Mawuli. In: CQE Working Papers. RePEc:cqe:wpaper:6117.

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2018Quantile Regression Model for Peak Load Demand Forecasting with Approximation by Triangular Distribution to Avoid Blackouts. (2018). Fukushige, Mototsugu ; Elamin, Niematallah. In: International Journal of Energy Economics and Policy. RePEc:eco:journ2:2018-05-16.

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2019The combination of interval forecasts in tourism. (2019). Liu, Anyu ; Zhou, Menglin ; Wu, Doris Chenguang. In: Annals of Tourism Research. RePEc:eee:anture:v:75:y:2019:i:c:p:363-378.

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2017Multiscale stochastic prediction of electricity demand in smart grids using Bayesian networks. (2017). Bassamzadeh, Nastaran ; Ghanem, Roger . In: Applied Energy. RePEc:eee:appene:v:193:y:2017:i:c:p:369-380.

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2017Integrating photovoltaics into energy systems by using a run-off-river power plant with pondage to smooth energy exchange with the power gird. (2017). Jurasz, Jakub ; Ciapaa, Bartomiej . In: Applied Energy. RePEc:eee:appene:v:198:y:2017:i:c:p:21-35.

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2017A communitarian microgrid storage planning system inside the scope of a smart city. (2017). Coelho, Vitor N ; Guimares, Frederico G ; Ochi, Luis S ; Santos, Haroldo G ; de Freitas, Alan ; Pereira, Leo ; Barbosa, Alexandre C ; de Oliveira, Glauber C. In: Applied Energy. RePEc:eee:appene:v:201:y:2017:i:c:p:371-381.

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2017Online short-term forecast of greenhouse heat load using a weather forecast service. (2017). Madsen, H ; Bacher, P ; Vogler–Finck, P. J. C., . In: Applied Energy. RePEc:eee:appene:v:205:y:2017:i:c:p:1298-1310.

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2018On the use of probabilistic forecasts in scheduling of renewable energy sources coupled to storages. (2018). Appino, Riccardo Remo ; Hagenmeyer, Veit ; Faulwasser, Timm ; Mikut, Ralf ; Gonzalez, Jorge Angel. In: Applied Energy. RePEc:eee:appene:v:210:y:2018:i:c:p:1207-1218.

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2018Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian Processes. (2018). van der Meer, D W ; Munkhammar, J ; Widen, J ; Svensson, A ; Shepero, M. In: Applied Energy. RePEc:eee:appene:v:213:y:2018:i:c:p:195-207.

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2018Power load probability density forecasting using Gaussian process quantile regression. (2018). Yang, Yandong ; Qu, Meijun ; Li, Wenqi. In: Applied Energy. RePEc:eee:appene:v:213:y:2018:i:c:p:499-509.

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2018Residential probabilistic load forecasting: A method using Gaussian process designed for electric load data. (2018). Shepero, Mahmoud ; Widen, Joakim ; Munkhammar, Joakim ; van der Meer, Dennis. In: Applied Energy. RePEc:eee:appene:v:218:y:2018:i:c:p:159-172.

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2018Experimental validation of an electrical and thermal energy demand model for rapid assessment of rural health centers in sub-Saharan Africa. (2018). Orosz, Matthew ; Lemort, Vincent ; Mueller, Amy ; Altes-Buch, Queralt. In: Applied Energy. RePEc:eee:appene:v:218:y:2018:i:c:p:382-390.

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2018Short term electricity demand forecasting using partially linear additive quantile regression with an application to the unit commitment problem. (2018). Lebotsa, Moshoko Emily ; Boylan, John E ; Fildes, Robert ; Bere, Alphonce ; Sigauke, Caston. In: Applied Energy. RePEc:eee:appene:v:222:y:2018:i:c:p:104-118.

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2018Stochastic operation of home energy management systems including battery cycling. (2018). Correa-Florez, Carlos Adrian ; Kariniotakis, Georges ; Michiorri, Andrea ; Gerossier, Alexis. In: Applied Energy. RePEc:eee:appene:v:225:y:2018:i:c:p:1205-1218.

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2018A maximum entropy approach to the estimation of spatially and sectorally disaggregated electricity load curves. (2018). Tobben, Johannes ; Schroder, Thomas. In: Applied Energy. RePEc:eee:appene:v:225:y:2018:i:c:p:797-813.

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2018Robust optimization for day-ahead market participation of smart-home aggregators. (2018). Correa-Florez, Carlos Adrian ; Kariniotakis, Georges ; Michiorri, Andrea. In: Applied Energy. RePEc:eee:appene:v:229:y:2018:i:c:p:433-445.

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2018A multi-agent based integrated volt-var optimization engine for fast vehicle-to-grid reactive power dispatch and electric vehicle coordination. (2018). Zhang, Wenjie ; Srinivasan, Dipti ; Rodriguez-Gallegos, Carlos D ; Quan, Hao ; Gandhi, Oktoviano. In: Applied Energy. RePEc:eee:appene:v:229:y:2018:i:c:p:96-110.

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2018A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model. (2018). Mohan, Neethu ; Kumar, Sachin S ; Soman, K P. In: Applied Energy. RePEc:eee:appene:v:232:y:2018:i:c:p:229-244.

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2019Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network. (2019). He, Yaoyao ; Wang, Chao ; Qin, Yang. In: Applied Energy. RePEc:eee:appene:v:233-234:y:2019:i::p:565-575.

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2019Probabilistic individual load forecasting using pinball loss guided LSTM. (2019). Zhang, Ning ; Sun, Mingyang ; Gan, Dahua ; Wang, YI ; Kang, Chongqing ; Lu, Zongxiang. In: Applied Energy. RePEc:eee:appene:v:235:y:2019:i:c:p:10-20.

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2019Probabilistic load forecasting for buildings considering weather forecasting uncertainty and uncertain peak load. (2019). Tang, Rui ; Wang, Shengwei ; Xu, Lei. In: Applied Energy. RePEc:eee:appene:v:237:y:2019:i:c:p:180-195.

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2019Short-term scenario-based probabilistic load forecasting: A data-driven approach. (2019). Pauwels, Eric J ; Khoshrou, Abdolrahman. In: Applied Energy. RePEc:eee:appene:v:238:y:2019:i:c:p:1258-1268.

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2018Short-run electricity load forecasting with combinations of stationary wavelet transforms. (2018). Bessec, Marie ; Fouquau, Julien. In: European Journal of Operational Research. RePEc:eee:ejores:v:264:y:2018:i:1:p:149-164.

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2019Structural combination of seasonal exponential smoothing forecasts applied to load forecasting. (2019). de Menezes, Lilian M ; Rendon-Sanchez, Juan F. In: European Journal of Operational Research. RePEc:eee:ejores:v:275:y:2019:i:3:p:916-924.

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2017Forecasting quantiles of day-ahead electricity load. (2017). Clements, Adam ; Li, Z ; Hurn, A S. In: Energy Economics. RePEc:eee:eneeco:v:67:y:2017:i:c:p:60-71.

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2018Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks. (2018). Weron, Rafał ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:70:y:2018:i:c:p:396-420.

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2018The value of forecasts: Quantifying the economic gains of accurate quarter-hourly electricity price forecasts. (2018). Kath, Christopher ; Ziel, Florian. In: Energy Economics. RePEc:eee:eneeco:v:76:y:2018:i:c:p:411-423.

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2017Modelling non-stationary time series using a peaks over threshold distribution with time varying covariates and threshold: An application to peak electricity demand. (2017). Bere, Alphonce ; Sigauke, Caston. In: Energy. RePEc:eee:energy:v:119:y:2017:i:c:p:152-166.

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2017Exploratory data analysis of the electrical energy demand in the time domain in Greece. (2017). Tyralis, Hristos ; Mamassis, Nikos ; Tzouka, Katerina ; Karakatsanis, Georgios . In: Energy. RePEc:eee:energy:v:134:y:2017:i:c:p:902-918.

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2017A new high-dimensional time series approach for wind speed, wind direction and air pressure forecasting. (2017). Schmid, Wolfgang ; Ambach, Daniel . In: Energy. RePEc:eee:energy:v:135:y:2017:i:c:p:833-850.

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2017Electricity load forecasting by an improved forecast engine for building level consumers. (2017). Liu, Yang ; Ghadimi, Noradin ; Wang, Wei. In: Energy. RePEc:eee:energy:v:139:y:2017:i:c:p:18-30.

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2018A bottom-up methodology for long term electricity consumption forecasting of an industrial sector - Application to pulp and paper sector in Brazil. (2018). , Felipe ; Calili, Rodrigo F ; Lourenco, Plutarcho M ; Cyrino, Fernando L ; Souza, Reinaldo C. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:1107-1118.

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2018Integrating a wind- and solar-powered hybrid to the power system by coupling it with a hydroelectric power station with pumping installation. (2018). Jurasz, Jakub ; Janowski, Mirosaw ; Ciapaa, Bartomiej ; Krzywda, Magdalena ; Mikulik, Jerzy. In: Energy. RePEc:eee:energy:v:144:y:2018:i:c:p:549-563.

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2018Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system. (2018). Fu, Guoyin. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:269-282.

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2018Short-term power output forecasting of hourly operation in power plant based on climate factors and effects of wind direction and wind speed. (2018). Dadkhah, Mojtaba ; Chavoshi, Ahmad Zare ; Rezaee, Mustafa Jahangoshai. In: Energy. RePEc:eee:energy:v:148:y:2018:i:c:p:775-788.

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2018Forecasting Chinas total energy demand and its structure using ADL-MIDAS model. (2018). Lin, Boqiang ; He, Yongda. In: Energy. RePEc:eee:energy:v:151:y:2018:i:c:p:420-429.

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2018A hybrid model based on selective ensemble for energy consumption forecasting in China. (2018). Xiao, Jin ; Huang, Jing ; Liu, Dunhu ; Xie, Ling. In: Energy. RePEc:eee:energy:v:159:y:2018:i:c:p:534-546.

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2018Parallel and reliable probabilistic load forecasting via quantile regression forest and quantile determination. (2018). Zhang, Wenjie ; Srinivasan, Dipti ; Quan, Hao. In: Energy. RePEc:eee:energy:v:160:y:2018:i:c:p:810-819.

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2018Modeling and forecasting hourly electricity demand by SARIMAX with interactions. (2018). Fukushige, Mototsugu ; Elamin, Niematallah. In: Energy. RePEc:eee:energy:v:165:y:2018:i:pb:p:257-268.

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2018Clustering-based short-term load forecasting for residential electricity under the increasing-block pricing tariffs in China. (2018). Fu, Xin ; Cai, Xiuwen ; Feng, Pengpeng ; Zeng, Xiao-Jun. In: Energy. RePEc:eee:energy:v:165:y:2018:i:pb:p:76-89.

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2019Soft-linking energy demand and optimisation models for local long-term electricity planning: An application to rural India. (2019). Riva, Fabio ; Colombo, Emanuela ; Tognollo, Annalisa ; Gardumi, Francesco. In: Energy. RePEc:eee:energy:v:166:y:2019:i:c:p:32-46.

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2019Short term load forecasting based on feature extraction and improved general regression neural network model. (2019). Liang, YI ; Hong, Wei-Chiang ; Niu, Dongxiao. In: Energy. RePEc:eee:energy:v:166:y:2019:i:c:p:653-663.

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2019A bottom-up bayesian extension for long term electricity consumption forecasting. (2019). Souza, Reinaldo C ; Cyrino, Fernando L. In: Energy. RePEc:eee:energy:v:167:y:2019:i:c:p:198-210.

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2019A comparison of models for forecasting the residential natural gas demand of an urban area. (2019). Papa, Gregor ; Ilc, Jurij ; Potonik, Primo ; Hribar, Rok. In: Energy. RePEc:eee:energy:v:167:y:2019:i:c:p:511-522.

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2019An electricity consumption model for synthesizing scalable electricity load curves. (2019). Wang, Lei ; Luo, Chunjie ; Zhan, Jianfeng ; Huang, Yunyou ; Ren, Rui ; Fan, Fanda ; Zheng, Daoyi. In: Energy. RePEc:eee:energy:v:169:y:2019:i:c:p:674-683.

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2018Probabilistic forecasting of industrial electricity load with regime switching behavior. (2018). Müller, Alfred ; Muller, A ; Hoffmann, A ; Berk, K. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:2:p:147-162.

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2018Comparison of intraday probabilistic forecasting of solar irradiance using only endogenous data. (2018). David, Mathieu ; Lauret, Philippe ; Luis, Mazorra Aguiar. In: International Journal of Forecasting. RePEc:eee:intfor:v:34:y:2018:i:3:p:529-547.

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2019Online big data-driven oil consumption forecasting with Google trends. (2019). Yu, Lean ; Yang, Zebin ; Tang, Ling ; Zhao, Yaqing. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:1:p:213-223.

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2019Long-term forecasting of fuel demand at theater entry points. (2019). Grazaitis, Peter J ; Brown, Donald E ; Lobo, Benjamin J. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:502-520.

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2019Tales from tails: On the empirical distributions of forecasting errors and their implication to risk. (2019). Assimakopoulos, Vassilios ; Nikolopoulos, Konstantinos ; Spiliotis, Evangelos. In: International Journal of Forecasting. RePEc:eee:intfor:v:35:y:2019:i:2:p:687-698.

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2017Uncertainty analysis for day ahead power reserve quantification in an urban microgrid including PV generators. (2017). Yan, Xingyu ; Francois, Bruno ; Abbes, Dhaker . In: Renewable Energy. RePEc:eee:renene:v:106:y:2017:i:c:p:288-297.

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2017A new finite mixture distribution and its expectation-maximization procedure for extreme wind speed characterization. (2017). Bracale, Antonio ; de Falco, Pasquale ; Carpinelli, Guido. In: Renewable Energy. RePEc:eee:renene:v:113:y:2017:i:c:p:1366-1377.

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2018Assessment of machine learning techniques for deterministic and probabilistic intra-hour solar forecasts. (2018). , Hugo ; Lauret, Philippe ; David, Mathieu ; Carlos , . In: Renewable Energy. RePEc:eee:renene:v:123:y:2018:i:c:p:191-203.

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2018Parametric methods for probabilistic forecasting of solar irradiance. (2018). Fatemi, Seyyed A ; Fripp, Matthias ; Kuh, Anthony . In: Renewable Energy. RePEc:eee:renene:v:129:y:2018:i:pa:p:666-676.

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2019Wind turbine power curve modeling using maximum likelihood estimation method. (2019). Kwak, Ho-Young ; Oh, Si-Doek ; Seo, Seokho. In: Renewable Energy. RePEc:eee:renene:v:136:y:2019:i:c:p:1164-1169.

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2018Review on probabilistic forecasting of photovoltaic power production and electricity consumption. (2018). van der Meer, D W ; Munkhammar, J ; Widen, J. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:81:y:2018:i:p1:p:1484-1512.

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2018Recent advances in electricity price forecasting: A review of probabilistic forecasting. (2018). Weron, Rafał ; Nowotarski, Jakub. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:81:y:2018:i:p1:p:1548-1568.

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2018Probabilistic mid- and long-term electricity price forecasting. (2018). Ziel, Florian ; Steinert, Rick. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:94:y:2018:i:c:p:251-266.

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2018A review of uncertainty representations and metaverification of uncertainty assessment techniques for renewable energies. (2018). Gensler, Andre ; Vogt, Stephan ; Sick, Bernhard. In: Renewable and Sustainable Energy Reviews. RePEc:eee:rensus:v:96:y:2018:i:c:p:352-379.

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2017Testing transformative energy scenarios through causal layered analysis gaming. (2017). Inayatullah, Sohail ; Minkkinen, Matti ; Heinonen, Sirkka ; Karjalainen, Joni. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:124:y:2017:i:c:p:101-113.

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2019Robust forecasting of electricity prices: Simulations, models and the impact of renewable sources. (2019). Nan, Fany ; Grossi, Luigi. In: Technological Forecasting and Social Change. RePEc:eee:tefoso:v:141:y:2019:i:c:p:305-318.

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2017Optimal and Learning-Based Demand Response Mechanism for Electric Water Heater System. (2017). Lin, BO ; Xiao, Yang. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:11:p:1722-:d:116726.

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2017Towards Improved Understanding of the Applicability of Uncertainty Forecasts in the Electric Power Industry. (2017). Bessa, Ricardo J ; Kariniotakis, George ; Cali, Umit ; Hodge, Bri-Mathias ; el Gaidi, Sebastian Haglund ; Browell, Jethro ; Siefert, Malte ; Fundel, Vanessa ; Mohrlen, Corinna. In: Energies. RePEc:gam:jeners:v:10:y:2017:i:9:p:1402-:d:111989.

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2018Data-Driven Risk Analysis for Probabilistic Three-Phase Grid-Supportive Demand Side Management. (2018). Blaauwbroek, Niels ; Slootweg, Han ; Nguyen, Phuong. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:10:p:2514-:d:171263.

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2018Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron. (2018). Moon, Jihoon ; Hwang, Eenjun ; Son, Minjae ; Kim, Yongsung. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3283-:d:185389.

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2018Long-Term Electricity Load Forecasting Considering Volatility Using Multiplicative Error Model. (2018). Khuntia, Swasti R ; MART, ; Rueda, Jose L. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3308-:d:185892.

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2018Robust Day-Ahead Forecasting of Household Electricity Demand and Operational Challenges. (2018). Gerossier, Alexis ; Kariniotakis, George ; Bocquet, Alexis ; Girard, Robin. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3503-:d:190888.

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2018Smart Meter Forecasting from One Minute to One Year Horizons. (2018). Massidda, Luca ; Marrocu, Marino. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:12:p:3520-:d:191309.

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2018Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions. (2018). Shamshirband, Sh ; Fallah, Seyedeh Narjes ; Conti, Mauro ; Shojafar, Mohammad ; Deo, Ravinesh Chand. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:3:p:596-:d:135335.

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2018Lambda-Based Data Processing Architecture for Two-Level Load Forecasting in Residential Buildings. (2018). Nugraha, Gde Dharma ; Choi, Deokjai ; Park, Kishik ; Musa, Ardiansyah. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:4:p:772-:d:138532.

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2018Performance Analysis of Short-Term Electricity Demand with Atmospheric Variables. (2018). Chapagain, Kamal ; Kittipiyakul, Somsak. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:4:p:818-:d:139250.

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2018A Green Energy Application in Energy Management Systems by an Artificial Intelligence-Based Solar Radiation Forecasting Model. (2018). Kuo, Ping-Huan ; Huang, Chiou-Jye. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:4:p:819-:d:139251.

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2018Probabilistic Electricity Price Forecasting Models by Aggregation of Competitive Predictors. (2018). Monteiro, Claudio ; Fernandez-Jimenez, Alfredo L ; Ramirez-Rosado, Ignacio J. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:5:p:1074-:d:143481.

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2018Short-Term Load Forecasting with Multi-Source Data Using Gated Recurrent Unit Neural Networks. (2018). Wang, Yixing ; Zhang, Senlin ; Bao, Zhejing ; Liu, Meiqin. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:5:p:1138-:d:144422.

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2018Risk Constrained Trading Strategies for Stochastic Generation with a Single-Price Balancing Market. (2018). Browell, Jethro. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:6:p:1345-:d:148973.

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2018Quantile Regression Post-Processing of Weather Forecast for Short-Term Solar Power Probabilistic Forecasting. (2018). Massidda, Luca ; Marrocu, Marino. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:7:p:1763-:d:156242.

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2018Empirical Comparison of Neural Network and Auto-Regressive Models in Short-Term Load Forecasting. (2018). Lopez, Miguel ; Senabre, Carolina ; Valero, Sergio ; Sans, Carlos. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2080-:d:163007.

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2018The Financial Effect of the Electricity Price Forecasts’ Inaccuracy on a Hydro-Based Generation Company. (2018). Ugurlu, Umut ; Oksuz, Ilkay ; Kaya, Aycan ; Tas, Oktay. In: Energies. RePEc:gam:jeners:v:11:y:2018:i:8:p:2093-:d:163292.

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2018Selection of Calibration Windows for Day-Ahead Electricity Price Forecasting. (2018). Weron, Rafał ; Serafin, Tomasz ; Marcjasz, Grzegorz . In: Energies. RePEc:gam:jeners:v:11:y:2018:i:9:p:2364-:d:168385.

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2019Intraday Load Forecasts with Uncertainty. (2019). Fasshauer, Gregory E ; Holladay, Scott ; Kozak, David. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:10:p:1833-:d:231133.

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2019Application of the Weighted K-Nearest Neighbor Algorithm for Short-Term Load Forecasting. (2019). Hong, Wei-Chiang ; Zheng, Jia-Mei ; Guo, Yan-Hui ; Fan, Guo-Feng. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:5:p:916-:d:212457.

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2019Developing and Comparing Different Strategies for Combining Probabilistic Photovoltaic Power Forecasts in an Ensemble Method. (2019). de Falco, Pasquale ; Carpinelli, Guido ; Bracale, Antonio. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:6:p:1011-:d:214129.

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2019Combining Weather Stations for Electric Load Forecasting. (2019). Li, Changlin ; Sangamwar, Saurabh ; Campbell, Allison ; Sobhani, Masoud ; Hong, Tao. In: Energies. RePEc:gam:jeners:v:12:y:2019:i:8:p:1510-:d:224789.

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2018GMDH-Based Semi-Supervised Feature Selection for Electricity Load Classification Forecasting. (2018). Yang, Lintao ; Liu, Haitao. In: Sustainability. RePEc:gam:jsusta:v:10:y:2018:i:1:p:217-:d:127251.

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2019Influent Forecasting for Wastewater Treatment Plants in North America. (2019). Snowling, Spencer ; Na, Dain ; Boyd, Gavin ; Zhou, Pengxiao ; Zhang, Qianqian. In: Sustainability. RePEc:gam:jsusta:v:11:y:2019:i:6:p:1764-:d:216611.

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2018Prediction bands for solar energy: New short-term time series forecasting techniques. (2018). Fliess, Michel ; Voyant, Cyril ; Join, Cedric . In: Post-Print. RePEc:hal:journl:hal-01736518.

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2018The influence of renewables on electricity price forecasting: a robust approach. (2018). Grossi, Luigi ; Nan, Fany . In: Working Papers. RePEc:ieb:wpaper:doc2018-10.

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2019A Brief History of Forecasting Competitions. (2019). Hyndman, Rob. In: Monash Econometrics and Business Statistics Working Papers. RePEc:msh:ebswps:2019-3.

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2017Modeling and Forecasting Hourly Electricity Demand by SARIMAX with Interactions. (2017). Fukushige, Mototsugu ; Elamin, Niematallah. In: Discussion Papers in Economics and Business. RePEc:osk:wpaper:1728.

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2017Are Multifractal Processes Suited to Forecasting Electricity Price Volatility? Evidence from Australian Intraday Data. (2017). Wilfling, Bernd ; Lau, Chi Keung ; GUPTA, RANGAN ; Segnon, Mawuli. In: Working Papers. RePEc:pre:wpaper:201739.

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2017Big Data Analytics: A Review on Theoretical Contributions and Tools Used in Literature. (2017). Grover, Purva ; Kar, Arpan Kumar. In: Global Journal of Flexible Systems Management. RePEc:spr:gjofsm:v:18:y:2017:i:3:d:10.1007_s40171-017-0159-3.

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2017Forecasting electricity prices through robust nonlinear models. (2017). Nan, Fany ; Grossi, Luigi. In: Working Papers. RePEc:ver:wpaper:06/2017.

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2017Variance stabilizing transformations for electricity spot price forecasting. (2017). Weron, Rafał ; Uniejewski, Bartosz ; Ziel, Florian. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1701.

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2017On the importance of the long-term seasonal component in day-ahead electricity price forecasting. Part II – Probabilistic forecasting. (2017). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1702.

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2017Importance of the long-term seasonal component in day-ahead electricity price forecasting revisited: Neural network models. (2017). Weron, Rafał ; Uniejewski, Bartosz ; Marcjasz, Grzegorz. In: HSC Research Reports. RePEc:wuu:wpaper:hsc1703.

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More than 100 citations found, this list is not complete...

Works by Tao Hong:


YearTitleTypeCited
2016Improving short term load forecast accuracy via combining sister forecasts In: Energy.
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article22
2015Improving short term load forecast accuracy via combining sister forecasts.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 22
paper
2014Global Energy Forecasting Competition 2012 In: International Journal of Forecasting.
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article33
2013Global Energy Forecasting Competition 2012.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 33
paper
2015Weather station selection for electric load forecasting In: International Journal of Forecasting.
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article6
2016GEFCom2014 probabilistic electric load forecasting: An integrated solution with forecast combination and residual simulation In: International Journal of Forecasting.
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article4
2016Electric load forecasting with recency effect: A big data approach In: International Journal of Forecasting.
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article10
2015Electric load forecasting with recency effect: A big data approach.(2015) In: HSC Research Reports.
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This paper has another version. Agregated cites: 10
paper
2016Probabilistic energy forecasting: Global Energy Forecasting Competition 2014 and beyond In: International Journal of Forecasting.
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article60
2016Probabilistic electric load forecasting: A tutorial review In: International Journal of Forecasting.
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article50
2018Benchmarking robustness of load forecasting models under data integrity attacks In: International Journal of Forecasting.
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article2
2014Energy Forecasting: Past, Present, and Future In: Foresight: The International Journal of Applied Forecasting.
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article24
2013Energy forecasting: Past, present and future.(2013) In: HSC Research Reports.
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This paper has another version. Agregated cites: 24
paper
2017Wind Speed for Load Forecasting Models In: Sustainability.
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article1
2013Long term probabilistic load forecasting and normalization with hourly information In: HSC Research Reports.
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paper10
2013Fuzzy interaction regression for short term load forecasting In: HSC Research Reports.
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paper3
2014Probabilistic load forecasting via Quantile Regression Averaging of independent expert forecasts In: HSC Research Reports.
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paper2
201413 lucky tips to juggle the analytics of forecasting In: HSC Research Reports.
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2015Probabilistic load forecasting via Quantile Regression Averaging on sister forecasts In: HSC Research Reports.
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paper7
2015Sister models for load forecast combination In: HSC Research Reports.
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paper0

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