Vengono sinteticamente descritti i risultati di una indagine sui laghi bresciani Garda,Iseo, Idro e Moro condotta Ira I’ottobre 1988 e I’aprile 1990 mediante quattro campagna di rilevamento.In quest’arco di tempo n...Vengono sinteticamente descritti i risultati di una indagine sui laghi bresciani Garda,Iseo, Idro e Moro condotta Ira I’ottobre 1988 e I’aprile 1990 mediante quattro campagna di rilevamento.In quest’arco di tempo non sono mai stati osservati rimescolamenti profondi della acque ed è stato confer-mato lo stato meromiuico dei laghi ldro e Moro. I dati emersi permettono di ordinate i laghi secondolivelli di trofia crescente nella seguente maniera: Garda 【 Iseo ≈ Moro 【 Idro. Physical-chemical research in the lakes Garda, Iseo, Idro and Moro (Brescia). Resultsof a research about the lakes Garda, Iseo, Idro and Moro carried out from October 1988 to April 1990with four campaigns of survey, are synthetically described. During this period deep mixing of waterswas never observed and the meromittic state of lakes Idro and Moro was confirmed. The data so farcollected allow to list these lakes as follows, according to their levels of increasing trophic condition:Garda 【 Iseo ≈ Moro 【 Idro.展开更多
A mathematical programming approach rooted in distributionally robust optimization(DRO)provides an effective data-driven strategy for battery energy storage system(BESS)planning.Nevertheless,the DRO paradigm often lac...A mathematical programming approach rooted in distributionally robust optimization(DRO)provides an effective data-driven strategy for battery energy storage system(BESS)planning.Nevertheless,the DRO paradigm often lacks interpretability in its results,obscuring the causal relationships between data distribution characteristics and the outcomes.Furthermore,the current approach to battery type selection is not included in traditional BESS planning,hindering comprehensive optimization.To tackle these BESS planning problems,this paper presents a universal method for BESS planning,which is designed to enhance the interpretability of DRO.First,mathematical definitions of interpretable DRO(IDRO)are introduced.Next,the uncertainties in wind power,photovoltaic power,and loads are modeled by using second-order cone ambiguity sets(SOCASs).In addition,the proposed method integrates selection,sizing,and siting.Moreover,a second-order cone bidirectional-orthogonal strategy is proposed to solve the BESS planning problems.Finally,the effectiveness of the proposed method is demonstrated through case studies,offering planners richer decision-making insights.展开更多
文摘Vengono sinteticamente descritti i risultati di una indagine sui laghi bresciani Garda,Iseo, Idro e Moro condotta Ira I’ottobre 1988 e I’aprile 1990 mediante quattro campagna di rilevamento.In quest’arco di tempo non sono mai stati osservati rimescolamenti profondi della acque ed è stato confer-mato lo stato meromiuico dei laghi ldro e Moro. I dati emersi permettono di ordinate i laghi secondolivelli di trofia crescente nella seguente maniera: Garda 【 Iseo ≈ Moro 【 Idro. Physical-chemical research in the lakes Garda, Iseo, Idro and Moro (Brescia). Resultsof a research about the lakes Garda, Iseo, Idro and Moro carried out from October 1988 to April 1990with four campaigns of survey, are synthetically described. During this period deep mixing of waterswas never observed and the meromittic state of lakes Idro and Moro was confirmed. The data so farcollected allow to list these lakes as follows, according to their levels of increasing trophic condition:Garda 【 Iseo ≈ Moro 【 Idro.
基金supported by the National Natural Science Foundation of China(No.51977046)。
文摘A mathematical programming approach rooted in distributionally robust optimization(DRO)provides an effective data-driven strategy for battery energy storage system(BESS)planning.Nevertheless,the DRO paradigm often lacks interpretability in its results,obscuring the causal relationships between data distribution characteristics and the outcomes.Furthermore,the current approach to battery type selection is not included in traditional BESS planning,hindering comprehensive optimization.To tackle these BESS planning problems,this paper presents a universal method for BESS planning,which is designed to enhance the interpretability of DRO.First,mathematical definitions of interpretable DRO(IDRO)are introduced.Next,the uncertainties in wind power,photovoltaic power,and loads are modeled by using second-order cone ambiguity sets(SOCASs).In addition,the proposed method integrates selection,sizing,and siting.Moreover,a second-order cone bidirectional-orthogonal strategy is proposed to solve the BESS planning problems.Finally,the effectiveness of the proposed method is demonstrated through case studies,offering planners richer decision-making insights.
